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Soft Computing In Chemical And Physical Sciences

Author : Kanchan Sarkar
ISBN : 9781498755955
Genre : Mathematics
File Size : 24. 36 MB
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This book can be regarded as 'Soft computing for physicists and chemists self-taught'. It prepares the readers with a solid background of soft computing and how to adapt soft computing techniques to problem solving in physical and chemical research. Soft computing methods have been little explored by researchers in physical and chemical sciences primarily because of the absence of books that bridge the gap between the traditional computing paradigm pursued by researchers in science and the new soft computing paradigm that has emerged in computer science. This book is the interface between these primary sources and researchers in physics and chemistry.

Neural Networks From Biology To High Energy Physics Proceedings Of The 2nd Workshop

Author : Benhar Omar
ISBN : 9789814553582
Genre :
File Size : 80. 33 MB
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“The US National Science Foundation (NSF) Research Experiences for Undergraduates (REU) program in mathematics is now 25 years old, and it is a good time to think about what it has achieved, how it has changed, and where this idea will go next.”This was the premise of the conference held at Mt. Holyoke College during 21-22 June, 2013, and this circle of ideas is brought forward in this volume. The conference brought together diverse points of view, from NSF administrators, leaders of university-wide honors programs, to faculty who had led REUs, recent PhDs who are expected to lead them soon, and students currently in an REU themselves. The conversation was so varied that it justifies a book-length attempt to capture all that was suggested, reported, and said. Among the contributors are Ravi Vakil (Stanford), Haynes Miller (MIT), and Carlos Castillo-Chavez (Arizona, President's Obama Committee on the National Medal of Science 2010-2012).This book should serve not only as a collection of speakers' notes, but also as a source book for anyone interested in teaching mathematics and in the possibility of incorporating research-like experiences in mathematics classes at any level, as well as designing research experiences for undergraduates outside of the classroom.

Artificial Neural Networks

Author : Kenji Suzuki
ISBN : 9789535109358
Genre : Computers
File Size : 42. 37 MB
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Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of architectures, methodologies, and applications of artificial neural networks. The book consists of two parts: the architecture part covers architectures, design, optimization, and analysis of artificial neural networks; the applications part covers applications of artificial neural networks in a wide range of areas including biomedical, industrial, physics, and financial applications. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks. The target audience of this book includes college and graduate students, and engineers in companies.

Stochastic Processes In Physics Chemistry And Biology

Author : Jan A. Freund
ISBN : 9783540453963
Genre : Science
File Size : 69. 79 MB
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The theory of stochastic processes originally grew out of efforts to describe Brownian motion quantitatively. Today it provides a huge arsenal of methods suitable for analyzing the influence of noise on a wide range of systems. The credit for acquiring all the deep insights and powerful methods is due ma- ly to a handful of physicists and mathematicians: Einstein, Smoluchowski, Langevin, Wiener, Stratonovich, etc. Hence it is no surprise that until - cently the bulk of basic and applied stochastic research was devoted to purely mathematical and physical questions. However, in the last decade we have witnessed an enormous growth of results achieved in other sciences - especially chemistry and biology - based on applying methods of stochastic processes. One reason for this stochastics boom may be that the realization that noise plays a constructive rather than the expected deteriorating role has spread to communities beyond physics. Besides their aesthetic appeal these noise-induced, noise-supported or noise-enhanced effects sometimes offer an explanation for so far open pr- lems (information transmission in the nervous system and information p- cessing in the brain, processes at the cell level, enzymatic reactions, etc.). They may also pave the way to novel technological applications (noise-- hanced reaction rates, noise-induced transport and separation on the na- scale, etc.). Key words to be mentioned in this context are stochastic r- onance, Brownian motors or ratchets, and noise-supported phenomena in excitable systems.

Instrument Engineers Handbook Volume 2 Third Edition

Author : Bela G. Liptak
ISBN : 0801982421
Genre : Science
File Size : 86. 91 MB
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This third edition of the Instrument Engineers' Handbook-most complete and respected work on process instrumentation and control-helps you:

Intelligent Systems

Author : Bogdan M. Wilamowski
ISBN : 9781351834315
Genre : Technology & Engineering
File Size : 34. 64 MB
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The Industrial Electronics Handbook, Second Edition combines traditional and newer, more specialized knowledge that will help industrial electronics engineers develop practical solutions for the design and implementation of high-power applications. Embracing the broad technological scope of the field, this collection explores fundamental areas, including analog and digital circuits, electronics, electromagnetic machines, signal processing, and industrial control and communications systems. It also facilitates the use of intelligent systems—such as neural networks, fuzzy systems, and evolutionary methods—in terms of a hierarchical structure that makes factory control and supervision more efficient by addressing the needs of all production components. Enhancing its value, this fully updated collection presents research and global trends as published in the IEEE Transactions on Industrial Electronics Journal, one of the largest and most respected publications in the field. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made substantial contributions to the solution of very complex problems. As a result, the field of computational intelligence has branched out in several directions. For instance, artificial neural networks can learn how to classify patterns, such as images or sequences of events, and effectively model complex nonlinear systems. Simple and easy to implement, fuzzy systems can be applied to successful modeling and system control. Illustrating how these and other tools help engineers model nonlinear system behavior, determine and evaluate system parameters, and ensure overall system control, Intelligent Systems: Addresses various aspects of neural networks and fuzzy systems Focuses on system optimization, covering new techniques such as evolutionary methods, swarm, and ant colony optimizations Discusses several applications that deal with methods of computational intelligence Other volumes in the set: Fundamentals of Industrial Electronics Power Electronics and Motor Drives Control and Mechatronics Industrial Communication Systems

Topological Indices And Related Descriptors In Qsar And Qspar

Author : James Devillers
ISBN : 9056992392
Genre : Mathematics
File Size : 41. 41 MB
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Topological Indices and Related Descriptors in QSAR and QSPAR reviews the state of the art in this field and highlights the important advances in the generation of descriptors calculated directly from the structure of molecules. This long-awaited comprehensive book provides all the necessary information to calculate and use these descriptors for deriving structure-activity and structure-property relationships. Written by leading experts in the field, this book discusses the physicochemical significance, strengths, and weaknesses of these indices and presents numerous examples of applications. This book will be a valuable reference for anyone involved in the use of QSAR and QSPAR in the pharmaceutical, applied chemical, and environmental sciences. It is also suitable for use as a supplementary textbook on related graduate level courses.

Cooperative Dynamics In Complex Physical Systems

Author : Hajime Takayama
ISBN : 9783642745546
Genre : Science
File Size : 40. 6 MB
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Many novel cooperative phenomena found in a variety of systems studied by scientists can be treated using the uniting principles of synergetics. Examples are frustrated and random systems, polymers, spin glasses, neural networks, chemical and biological systems, and fluids. In this book attention is focused on two main problems. First, how local, topological constraints (frustrations) can cause macroscopic cooperative behavior: related ideas initially developed for spin glasses are shown to play key roles also for optimization and the modeling of neural networks. Second, the dynamical constraints that arise from the nonlinear dynamics of the systems: the discussion covers turbulence in fluids, pattern formation, and conventional 1/f noise. The volume will be of interest to anyone wishing to understand the current development of work on complex systems, which is presently one of the most challenging subjects in statistical and condensed matter physics.

Bilder Im Geiste

Author : Klaus Sachs-Hombach
ISBN : 9051836791
Genre : Philosophy
File Size : 49. 5 MB
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Der vorliegende Band der Reihe Philosophie & Repräsentation/Philosophy & Representation: bietet eine informative Einführung in die Diskussion zur Rolle bildlicher Vorstellungen, die unter dem Titel 'Imagery Debate' in den Kognitionswissenschaften und der analytischen Philosophie bereits seit den 60er Jahren lebhaft geführt wird. Gibt es bereits auf der Ebene unserer Kognitionen, so ließe sich die Leitfrage formulieren, bildliche Repräsentationsformen, und welche Funktionen kommen ihnen innerhalb unserer Erkenntnisprozesse zu? Eine solche Frage richtet sich kritisch gegen die Annahme, daß wir Wissen letztlich nur in abstrakten, oft mathematisierbaren Propositionen besitzen, in die unsere mentalen Bilder, die subjektiven Vorstellungen, immer und ohne Rest übersetzt werden können. Es werden insbesondere kognitionswissenschaftliche Ansätze zur Sprache kommen, die das Verhältnis, die Funktion und die Berechtigung unterschiedlicher Formen der Repräsentation behandeln. Hierbei geht es sowohl allgemein um das Verhältnis von Bild und Sprache und um die These von der Unhintergehbarkeit der Sprache, als auch etwas spezieller um die konkrete Bestimmung des mentalen Bildes, die Frage etwa nach seinem 'analogen' Charakter oder seiner spezifischen Art und Weise, Wissen zu repräsentieren.

Instrument Engineers Handbook Volume Two

Author : Bela G. Liptak
ISBN : 9781420064001
Genre : Technology & Engineering
File Size : 70. 44 MB
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The latest update to Bela Liptak's acclaimed "bible" of instrument engineering is now available. Retaining the format that made the previous editions bestsellers in their own right, the fourth edition of Process Control and Optimization continues the tradition of providing quick and easy access to highly practical information. The authors are practicing engineers, not theoretical people from academia, and their from-the-trenches advice has been repeatedly tested in real-life applications. Expanded coverage includes descriptions of overseas manufacturer's products and concepts, model-based optimization in control theory, new major inventions and innovations in control valves, and a full chapter devoted to safety. With more than 2000 graphs, figures, and tables, this all-inclusive encyclopedic volume replaces an entire library with one authoritative reference. The fourth edition brings the content of the previous editions completely up to date, incorporates the developments of the last decade, and broadens the horizons of the work from an American to a global perspective. Béla G. Lipták speaks on Post-Oil Energy Technology on the AT&T Tech Channel.

Advanced Applications For Artificial Neural Networks

Author : Adel El-Shahat
ISBN : 9789535137801
Genre : Computers
File Size : 58. 93 MB
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In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks. It addresses advanced applications and innovative case studies for the next-generation optical networks based on modulation recognition using artificial neural networks, hardware ANN for gait generation of multi-legged robots, production of high-resolution soil property ANN maps, ANN and dynamic factor models to combine forecasts, ANN parameter recognition of engineering constants in Civil Engineering, ANN electricity consumption and generation forecasting, ANN for advanced process control, ANN breast cancer detection, ANN applications in biofuels, ANN modeling for manufacturing process optimization, spectral interference correction using a large-size spectrometer and ANN-based deep learning, solar radiation ANN prediction using NARX model, and ANN data assimilation for an atmospheric general circulation model.

Engineering Applications Of Neural Networks

Author : Chrisina Jayne
ISBN : 9783642329098
Genre : Computers
File Size : 45. 28 MB
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This book constitutes the refereed proceedings of the 13th International Conference on Engineering Applications of Neural Networks, EANN 2012, held in London, UK, in September 2012. The 49 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of neural networks and other computational intelligence approaches to intelligent transport, environmental engineering, computer security, civil engineering, financial forecasting, virtual learning environments, language interpretation, bioinformatics and general engineering.

Real Time Artificial Intelligence Control And Optimization Of A Full Scale Wtp

Author : Riyaz Shariff
ISBN : 9781583215128
Genre : Science
File Size : 69. 87 MB
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This study shows that advanced artificial neural network (ANN) model-based control systems can be used for drinking water treatment process control. ANN technology, an artificial intelligence technology that has the ability to learn patterns and relationships contained in sets of data, is the most powerful modeling tool currently available to the drinking water treatment industry. ANN predicts the output of a process given the values of process inputs and process control variables. The results of this project have the potential to revolutionize the way in which drinking water utilities optimize and control their unit processes to efficiently and consistently supply high quality drinking water

Mathematical Approaches To Neural Networks

Author : J.G. Taylor
ISBN : 0080887392
Genre : Computers
File Size : 47. 17 MB
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The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress being made in each approach is considerable. Nevertheless, both stand in need of a theoretical framework of explanation to underpin their usage and to allow the progress being made to be put on a firmer footing. This book aims to strengthen the foundations in its presentation of mathematical approaches to neural networks. It is through these that a suitable explanatory framework is expected to be found. The approaches span a broad range, from single neuron details to numerical analysis, functional analysis and dynamical systems theory. Each of these avenues provides its own insights into the way neural networks can be understood, both for artificial ones and simplified simulations. As a whole, the publication underlines the importance of the ever-deepening mathematical understanding of neural networks.

Process Control

Author : Béla G. Lipták
ISBN : 9781483145020
Genre : Technology & Engineering
File Size : 53. 63 MB
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Instrument Engineers' Handbook, Third Edition: Process Control provides information pertinent to control hardware, including transmitters, controllers, control valves, displays, and computer systems. This book presents the control theory and shows how the unit processes of distillation and chemical reaction should be controlled. Organized into eight chapters, this edition begins with an overview of the method needed for the state-of-the-art practice of process control. This text then examines the relative merits of digital and analog displays and computers. Other chapters consider the basic industrial annunciators and other alarm systems, which consist of multiple individual alarm points that are connected to a trouble contact, a logic module, and a visual indicator. This book discusses as well the data loggers available for process control applications. The final chapter deals with the various pump control systems, the features and designs of variable-speed drives, and the metering pumps. This book is a valuable resource for engineers.

Machine Learning In Chemistry

Author : Jon Paul Janet
ISBN : 9780841299009
Genre : Science
File Size : 25. 14 MB
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Recent advances in machine learning or artificial intelligence for vision and natural language processing that have enabled the development of new technologies such as personal assistants or self-driving cars have brought machine learning and artificial intelligence to the forefront of popular culture. The accumulation of these algorithmic advances along with the increasing availability of large data sets and readily available high performance computing has played an important role in bringing machine learning applications to such a wide range of disciplines. Given the emphasis in the chemical sciences on the relationship between structure and function, whether in biochemistry or in materials chemistry, adoption of machine learning by chemists. Machine Learning in Chemistry focuses on the following to launch your understanding of this highly relevant topic: Topics most relevant to chemical sciences are the focus. Focus on concepts rather than technical details. Comprehensive referencing provides sources to go to for more technical details. Key details about methods that underlie machine learning (not easy, but important to understand the strengths as well as the limitations of these methods and to identify where domain knowledge can be most readily applied. Familiarity with basic single variable calculus and in linear algebra will be helpful although we have provided step-by-step derivations where they are important

Theoretical And Computational Chemistry

Author : Iwona Gulaczyk
ISBN : 9783110678284
Genre : Technology & Engineering
File Size : 39. 50 MB
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This book explores the applications of computational chemistry ranging from the pharmaceutical industry and molecular structure determination to spectroscopy and astrophysics. The authors detail how calculations can be used to solve a wide range of practical challenges encountered in research and industry.

Unconventional Computation And Natural Computation

Author : Ian McQuillan
ISBN : 9783030193119
Genre : Computers
File Size : 61. 5 MB
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This book constitutes the proceedings of the 18th International Conference on Unconventional Computation and Natural Computation, UCNC 2019, held in Tokyo, Japan, in June 2019. The 19 full papers presented were carefully reviewed and selected from 32 submissions. The papers cover topics such as hypercomputation; chaos and dynamical systems based computing; granular, fuzzy and rough computing; mechanical computing; cellular, evolutionary, molecular, neural, and quantum computing; membrane computing; amorphous computing, swarm intelligence; artificial immune systems; physics of computation; chemical computation; evolving hardware; the computational nature of self-assembly, developmental processes, bacterial communication, and brain processes.

Artificial Intelligence In Process Engineering

Author : Michael Mavrovouniotis
ISBN : 9780323153140
Genre : Science
File Size : 26. 76 MB
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Artificial Intelligence in Process Engineering aims to present a diverse sample of Artificial Intelligence (AI) applications in process engineering. The book contains contributions, selected by the editors based on educational value and diversity of AI methods and process engineering application domains. Topics discussed in the text include the use of qualitative reasoning for modeling and simulation of chemical systems; the use of qualitative models in discrete event simulation to analyze malfunctions in processing systems; and the diagnosis of faults in processes that are controlled by Programmable Logic Controllers. There are also debates on the issue of quantitative versus qualitative information. The control of batch processes, a design of a system that synthesizes bioseparation processes, and process design in the domain of chemical (rather than biochemical) systems are likewise covered in the text. This publication will be of value to industrial engineers and process engineers and researchers.

Process Neural Networks

Author : Xingui He
ISBN : 9783540737629
Genre : Computers
File Size : 20. 50 MB
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For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.

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