neural network design 2nd edition

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Neural Network Design 2nd Edition

Author : Martin Hagan
ISBN : 0971732116
Genre :
File Size : 76. 36 MB
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This book provides a clear and detailed coverage of fundamental neural network architectures and learning rules. In it, the authors emphasize a coherent presentation of the principal neural networks, methods for training them and their applications to practical problems.

Neural Network Design

Author : Martin T. Hagan
ISBN : 0971732108
Genre : Neural networks (Computer science)
File Size : 47. 70 MB
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This book provides a clear and detailed survey of basic neural network architectures and learning rules. In it, the authors emphasize mathematical analysis of networks, methods for training networks, and application of networks to practical engineering problems in pattern recognition, signal processing, and control systems.

Neural Network Modeling And Identification Of Dynamical Systems

Author : Yury Tiumentsev
ISBN : 9780128154304
Genre : Science
File Size : 72. 20 MB
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Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft. Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training Offers application examples of dynamic neural network technologies, primarily related to aircraft Provides an overview of recent achievements and future needs in this area

Advanced Applications For Artificial Neural Networks

Author : Adel El-Shahat
ISBN : 9789535137801
Genre : Computers
File Size : 53. 51 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.

Neural Networks Modeling And Control

Author : Jorge D. Rios
ISBN : 9780128170793
Genre : Science
File Size : 62. 65 MB
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Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, then a RHONN is used to design neural observers for the same class of systems. Therefore, both neural models are used to synthesize controllers for trajectory tracking based on two methodologies: sliding mode control and Inverse Optimal Neural Control. As well as considering the different neural control models and complications that are associated with them, this book also analyzes potential applications, prototypes and future trends. Provide in-depth analysis of neural control models and methodologies Presents a comprehensive review of common problems in real-life neural network systems Includes an analysis of potential applications, prototypes and future trends

Neural Networks For Robotics

Author : Nancy Arana-Daniel
ISBN : 9781351231770
Genre : Technology & Engineering
File Size : 73. 82 MB
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The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and aerial robots, and clustering, with real-time implementations. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object recognition, clustering of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to implement a wide range of artificial neural network architectures. Includes real-time examples for various robotic platforms. Discusses real-time implementation for land and aerial robots. Presents solutions for problems encountered in autonomous navigation. Explores the mathematical preliminaries needed to understand the proposed methodologies. Integrates computing, communications, control, sensing, planning, and other techniques by means of artificial neural networks for robotics.

Encyclopedia Of Information Science And Technology Fourth Edition

Author : Khosrow-Pour, D.B.A., Mehdi
ISBN : 9781522522560
Genre : Computers
File Size : 33. 17 MB
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In recent years, our world has experienced a profound shift and progression in available computing and knowledge sharing innovations. These emerging advancements have developed at a rapid pace, disseminating into and affecting numerous aspects of contemporary society. This has created a pivotal need for an innovative compendium encompassing the latest trends, concepts, and issues surrounding this relevant discipline area. During the past 15 years, the Encyclopedia of Information Science and Technology has become recognized as one of the landmark sources of the latest knowledge and discoveries in this discipline. The Encyclopedia of Information Science and Technology, Fourth Edition is a 10-volume set which includes 705 original and previously unpublished research articles covering a full range of perspectives, applications, and techniques contributed by thousands of experts and researchers from around the globe. This authoritative encyclopedia is an all-encompassing, well-established reference source that is ideally designed to disseminate the most forward-thinking and diverse research findings. With critical perspectives on the impact of information science management and new technologies in modern settings, including but not limited to computer science, education, healthcare, government, engineering, business, and natural and physical sciences, it is a pivotal and relevant source of knowledge that will benefit every professional within the field of information science and technology and is an invaluable addition to every academic and corporate library.

Neural Nets And Chaotic Carriers

Author : Peter Whittle
ISBN : 9781908977953
Genre : Science
File Size : 89. 43 MB
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Neural Nets and Chaotic Carriers develops rational principles for the design of associative memories, with a view to applying these principles to models with irregularly oscillatory operation so evident in biological neural systems, and necessitated by the meaninglessness of absolute signal levels. Design is based on the criterion that an associative memory must be able to cope with “fading data”, i.e., to form an inference from the data even as its memory of that data degrades. The resultant net shows striking biological parallels. When these principles are combined with the Freeman specification of a neural oscillator, some remarkable effects emerge. For example, the commonly-observed phenomenon of neuronal bursting appears, with gamma-range oscillation modulated by a low-frequency square-wave oscillation (the “escapement oscillation”). Bridging studies and new results of artificial and biological neural networks, the book has a strong research character. It is, on the other hand, accessible to non-specialists for its concise exposition on the basics. Contents:Opening and Themes:Introduction and AspirationsOptimal Statistical ProceduresLinear Links and Nonlinear Knots: The Basic Neural NetBifurcations and ChaosAssociative and Storage Memories:What is a Memory? The Hamming and Hopfield NetsCompound and ‘Spurious’ TracesPreserving Plasticity: A Bayesian ApproachThe Key Task: The Fixing of Fading Data. Conclusions IPerformance of the Probability-Maximising AlgorithmOther Memories — Other ConsiderationsOscillatory Operation and the Biological Model:Neuron Models and Neural MassesFreeman Oscillators — Solo and in ConcertAssociative Memories Incorporating the Freeman OscillatorOlfactory Comparisons. Conclusions IITransmission Delays Readership: Professionals and graduates in areas associated with artificial neural networks. Keywords:Neural Nets;Associative Memory;Freeman Oscillator;Neuronal Bursting;Olfactory System

Computational Intelligence In Archaeology

Author : Barcelo, Juan A.
ISBN : 9781599044910
Genre : Computers
File Size : 27. 39 MB
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Provides analytical theories offered by innovative artificial intelligence computing methods in the archaeological domain.

Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition

Author : Graupe Daniel
ISBN : 9789811201240
Genre : Computers
File Size : 50. 38 MB
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The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.

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