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Elements Of Artificial Neural Networks


Elements Of Artificial Neural Networks
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Elements Of Artificial Neural Networks


Elements Of Artificial Neural Networks
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Author : Kishan Mehrotra
language : en
Publisher: MIT Press
Release Date : 1997

Elements Of Artificial Neural Networks written by Kishan Mehrotra and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe most of the basic neural network models (with several detailed solved examples) and discuss the rationale and advantages of the models, as well as their limitations. The approach is practical and open-minded and requires very little mathematical or technical background. Written from a computer science and statistics point of view, the text stresses links to contiguous fields and can easily serve as a first course for students in economics and management. The opening chapter sets the stage, presenting the basic concepts in a clear and objective way and tackling important -- yet rarely addressed -- questions related to the use of neural networks in practical situations. Subsequent chapters on supervised learning (single layer and multilayer networks), unsupervised learning, and associative models are structured around classes of problems to which networks can be applied. Applications are discussed along with the algorithms. A separate chapter takes up optimization methods. The most frequently used algorithms, such as backpropagation, are introduced early on, right after perceptrons, so that these can form the basis for initiating course projects. Algorithms published as late as 1995 are also included. All of the algorithms are presented using block-structured pseudo-code, and exercises are provided throughout. Software implementing many commonly used neural network algorithms is available at the book's website. Transparency masters, including abbreviated text and figures for the entire book, are available for instructors using the text.



Elements Of Artificial Neural Networks With Selected Applications In Chemical Engineering And Chemical And Biological Sciences


Elements Of Artificial Neural Networks With Selected Applications In Chemical Engineering And Chemical And Biological Sciences
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Author : Sanjeev S. Tambe
language : en
Publisher: Simulation & Advanced Controls Incorporated
Release Date : 1996

Elements Of Artificial Neural Networks With Selected Applications In Chemical Engineering And Chemical And Biological Sciences written by Sanjeev S. Tambe and has been published by Simulation & Advanced Controls Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Biology categories.




Artificial Neural Networks


Artificial Neural Networks
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Author : V. Rao Vemuri
language : en
Publisher:
Release Date : 1988

Artificial Neural Networks written by V. Rao Vemuri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computers categories.


This volume provides an introduction to the field of artificial neural networks, and their role in the emerging field of neurocomputing, and the theoretical concepts that are the focus of current research. The genesis of this subject can be traced back to the 1940s, while present interest is due to recent developments in theoretical models, technologies, and algorithms. The papers selected for this volume were published primarily in IEEE journals.



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


Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition
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Author : Graupe Daniel
language : en
Publisher: World Scientific
Release Date : 2019-03-15

Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition written by Graupe Daniel and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Computers categories.


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.



Artificial Neural Networks


Artificial Neural Networks
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Author : Robert J. Schalkoff
language : en
Publisher: McGraw-Hill Science, Engineering & Mathematics
Release Date : 1997

Artificial Neural Networks written by Robert J. Schalkoff and has been published by McGraw-Hill Science, Engineering & Mathematics this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


While the primary objective of the text is to provide a teaching tool, practicing engineers and scientists are likely to find the clear, concept-based treatment useful in updating their backgrounds.



Artificial Neural Networks


Artificial Neural Networks
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Author : Kevin L. Priddy
language : en
Publisher: SPIE Press
Release Date : 2005

Artificial Neural Networks written by Kevin L. Priddy and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


This tutorial text provides the reader with an understanding of artificial neural networks (ANNs), and their application, beginning with the biological systems which inspired them, through the learning methods that have been developed, and the data collection processes, to the many ways ANNs are being used today. The material is presented with a minimum of math (although the mathematical details are included in the appendices for interested readers), and with a maximum of hands-on experience. All specialized terms are included in a glossary. The result is a highly readable text that will teach the engineer the guiding principles necessary to use and apply artificial neural networks.



Artificial Neural Networks


Artificial Neural Networks
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Author : P.J. Braspenning
language : en
Publisher: Springer Science & Business Media
Release Date : 1995-06-02

Artificial Neural Networks written by P.J. Braspenning and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-06-02 with Computers categories.


This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.



Multivariate Statistical Machine Learning Methods For Genomic Prediction


Multivariate Statistical Machine Learning Methods For Genomic Prediction
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Author : Osval Antonio Montesinos López
language : en
Publisher: Springer Nature
Release Date : 2022-02-14

Multivariate Statistical Machine Learning Methods For Genomic Prediction written by Osval Antonio Montesinos López and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Technology & Engineering categories.


This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.



Analysis And Applications Of Artificial Neural Networks


Analysis And Applications Of Artificial Neural Networks
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Author : Leo P. J. Veelenturf
language : en
Publisher:
Release Date : 1995

Analysis And Applications Of Artificial Neural Networks written by Leo P. J. Veelenturf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.


This volume is an analysis of the behaviour of the three types of neural networks: the binary perceptron, the continuous perceptron and the self-organizing neural network. Analysis is largely mathematical but concepts are also explained through practical examples.



Foundations Of Neural Networks Fuzzy Systems And Knowledge Engineering


Foundations Of Neural Networks Fuzzy Systems And Knowledge Engineering
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Author : Nikola K. Kasabov
language : en
Publisher: Marcel Alencar
Release Date : 1996

Foundations Of Neural Networks Fuzzy Systems And Knowledge Engineering written by Nikola K. Kasabov and has been published by Marcel Alencar this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Artificial intelligence categories.


Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.