Principles Of Artificial Neural Networks 2nd Edition PDF Download
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| Author | : Daniel Graupe |
| Publisher | : World Scientific |
| Total Pages | : 382 |
| Release | : 2013 |
| Genre | : Computers |
| ISBN | : 9814522740 |
Download Principles of Artificial Neural Networks Book in PDF, ePub and Kindle
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond. This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition OCo all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained. The book 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."
| Author | : Daniel Graupe |
| Publisher | : World Scientific |
| Total Pages | : 320 |
| Release | : 2007-04-05 |
| Genre | : Computers |
| ISBN | : 9814475564 |
Download Principles Of Artificial Neural Networks (2nd Edition) Book in PDF, ePub and Kindle
The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different networks.
| Author | : Daniel Graupe |
| Publisher | : World Scientific |
| Total Pages | : 320 |
| Release | : 2007 |
| Genre | : Computers |
| ISBN | : 9812706240 |
Download Principles of Artificial Neural Networks Book in PDF, ePub and Kindle
This book should serves as a self-study course for engineers and computer scientist in the industry. The features include major neural network approaches and architectures with theories and detailed case studies for each of the approaches acompanied by complete computer codes and the corresponding computed results. There is also a chapter on LAMSTAR neural network.
| Author | : Graupe Daniel |
| Publisher | : World Scientific |
| Total Pages | : 440 |
| Release | : 2019-03-15 |
| Genre | : Computers |
| ISBN | : 9811201242 |
Download Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition) Book in PDF, ePub and Kindle
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.
| Author | : Daniel Graupe |
| Publisher | : World Scientific |
| Total Pages | : 382 |
| Release | : 2013-07-31 |
| Genre | : Computers |
| ISBN | : 9814522759 |
Download Principles Of Artificial Neural Networks (3rd Edition) Book in PDF, ePub and Kindle
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition — all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.The book 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.
| Author | : Daniel Graupe |
| Publisher | : World Scientific |
| Total Pages | : 256 |
| Release | : 1997-05-01 |
| Genre | : Mathematics |
| ISBN | : 9789810241254 |
Download Principles of Artificial Neural Networks Book in PDF, ePub and Kindle
This textbook is intended for a first-year graduate course on Artificial Neural Networks. It assumes no prior background in the subject and is directed to MS students in electrical engineering, computer science and related fields, with background in at least one programming language or in a programming tool such as Matlab, and who have taken the basic undergraduate classes in systems or in signal processing.
| Author | : Daniel A. Roberts |
| Publisher | : Cambridge University Press |
| Total Pages | : 473 |
| Release | : 2022-05-26 |
| Genre | : Computers |
| ISBN | : 1316519333 |
Download The Principles of Deep Learning Theory Book in PDF, ePub and Kindle
This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
| Author | : B. YEGNANARAYANA |
| Publisher | : PHI Learning Pvt. Ltd. |
| Total Pages | : 480 |
| Release | : 2009-01-14 |
| Genre | : Computers |
| ISBN | : 9788120312531 |
Download ARTIFICIAL NEURAL NETWORKS Book in PDF, ePub and Kindle
Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate and senior undergraduate levels in any branch of engineering, this self-contained and well-organized book highlights the need for new models of computing based on the fundamental principles of neural networks. Professor Yegnanarayana compresses, into the covers of a single volume, his several years of rich experience, in teaching and research in the areas of speech processing, image processing, artificial intelligence and neural networks. He gives a masterly analysis of such topics as Basics of artificial neural networks, Functional units of artificial neural networks for pattern recognition tasks, Feedforward and Feedback neural networks, and Archi-tectures for complex pattern recognition tasks. Throughout, the emphasis is on the pattern processing feature of the neural networks. Besides, the presentation of real-world applications provides a practical thrust to the discussion.
| Author | : P.J. Braspenning |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 320 |
| Release | : 1995-06-02 |
| Genre | : Computers |
| ISBN | : 9783540594888 |
Download Artificial Neural Networks Book in PDF, ePub and Kindle
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.
| Author | : Grady Hanrahan |
| Publisher | : CRC Press |
| Total Pages | : 206 |
| Release | : 2011-01-18 |
| Genre | : Mathematics |
| ISBN | : 1439812594 |
Download Artificial Neural Networks in Biological and Environmental Analysis Book in PDF, ePub and Kindle
Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in computational power and availability, and made widely accessible with the co-evolution of software, algorithms, and methodologies, artificial neural networks have had a profound
