Programming Neural Networks With Encog 3 In C

Author : Jeff Heaton
Publisher :
ISBN 13 : 9781604390261
Total Pages : 240 pages
Book Rating : 4.63/5 ( download)

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Download or read book Programming Neural Networks with Encog 3 in C# written by Jeff Heaton and published by . This book was released on 2011 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on using the neural network capabilities of Encog with the C# programming language. The reader is shown how to use classification, regression, and clustering to gain new insights into data.

Author : Jeff Heaton
Publisher :
ISBN 13 : 9781604390216
Total Pages : 242 pages
Book Rating : 4.12/5 ( download)

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Download or read book Programming Neural Networks with Encog 3 in Java written by Jeff Heaton and published by . This book was released on 2011 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning where our introductory neural network programing book left off, this book introduces you to Encog. Encog allows you to focus less on the actual implementation of neural networks and focus on how to use them. Encog is an advanced neural network programming framework that allows you to create a variety of neural network architectures using the Java programming language. Neural network architectures such as feedforward/perceptrons, Hopfield, Elman, Jordan, Radial Basis Function, and Self Organizing maps are all demonstrated. This book also shows how to use Encog to train neural networks using a variety of means. Several propagation techniques, such as back propagation, resilient propagation (RPROP) and the Manhattan update rule are discussed. Additionally, training with a genetic algorithm and simulated annealing is discussed as well. You will also see how to enhance training using techniques such as pruning and hybrid training.

Author : Masters
Publisher : Elsevier
ISBN 13 : 0080514332
Total Pages : 512 pages
Book Rating : 4.38/5 ( download)

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Download or read book Practical Neural Network Recipies in C++ written by Masters and published by Elsevier. This book was released on 2014-06-28 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing that network. The book provides guidance along the entire problem-solving path, including designing the training set, preprocessing variables, training and validating the network, and evaluating its performance. Though the book is not intended as a general course in neural networks, no background in neural works is assumed and all models are presented from the ground up.The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals. Other network models with strong performance records are also included.Bound in the book is an IBM diskette that includes the source code for all programs in the book. Much of this code can be easily adapted to C compilers. In addition, the operation of all programs is thoroughly discussed both in the text and in the comments within the code to facilitate translation to other languages.

Author : Jeff Heaton
Publisher :
ISBN 13 : 9781604390100
Total Pages : 0 pages
Book Rating : 4.07/5 ( download)

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Download or read book Programming Neural Networks with Encog 2 in C# written by Jeff Heaton and published by . This book was released on 2009-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural network architectures such as feedforward/perceptrons, Hopfield, Elman, Jordan, Radial Basis Function, and Self Organizing maps are all demonstrated in this guidebook. Several propagation techniques, such as back propagation, resilient propagation (RPROP), and the Manhattan update rule, are discussed.

Author : Stefano Ubaldini
Publisher : MDPI
ISBN 13 : 3036505482
Total Pages : 188 pages
Book Rating : 4.80/5 ( download)

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Download or read book Leaching Kinetics of Valuable Metals written by Stefano Ubaldini and published by MDPI. This book was released on 2021-05-07 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leaching is a primary extractive operation in hydrometallurgical processing, by which a metal of interest is transferred from naturally occurring minerals into an aqueous solution. In essence, it involves the selective dissolution of valuable minerals, where the ore, concentrate, or matte is brought into contact with an active chemical solution known as a leach solution. Currently, the hydrometallurgical processes have a great number of applications, not only in the mining sector—in particular, for the recovery of precious metals—but also in the environmental sector, for the recovery of toxic metals from wastes of various types, and their reuse as valuable metals, after purification. Therefore, there is an increasing need to develop novel solutions, to implement environmentally sustainable practices in the recovery of these valuable and precious metals, with particular reference to critical metals; those included in materials that are indispensable to modern life and for which an exponential increase in consumption is already a reality, or will be in a short-term perspective. For publication in this Special Issue, consideration has been given to articles that contribute to the optimization of the kinetic conditions of innovative hydrometallurgical processes—economic and of low environmental impact—applied to the recovery of valuable and critical metals.

Author : Federico Rossi
Publisher : Springer
ISBN 13 : 3319326953
Total Pages : 217 pages
Book Rating : 4.55/5 ( download)

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Download or read book Advances in Artificial Life, Evolutionary Computation and Systems Chemistry written by Federico Rossi and published by Springer. This book was released on 2016-04-02 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers of the 10th Italian Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2015, held at Bari, Italy, in September 2015. The 18 papers presented have been thoroughly reviewed and selected from 45 submissions. They cover the following topics: evolutionary computation, bioinspired algorithms, genetic algorithms, bioinformatics and computational biology, modeling and simulation of artificial and biological systems, complex systems, synthetic and systems biology, systems chemistry.

Author : Steven Cooper
Publisher : Roland Bind
ISBN 13 :
Total Pages : 82 pages
Book Rating : 4.03/5 ( download)

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Download or read book Neural Networks written by Steven Cooper and published by Roland Bind. This book was released on 2018-11-06 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: ☆★The Best Neural Networks Book for Beginners★☆ If you are looking for a complete beginners guide to learn neural networks with examples, in just a few hours, then you need to continue reading. Have you noticed the increasing prevalence of software that tries to learn from you? More and more, we are interacting with machines and platforms that try to predict what we are looking for. From movie and television show recommendations on Netflix based on your taste to the keyboard on your smartphone trying to predict and recommend the next word you may want to type, it's becoming obvious that machine learning will definitely be part of our future. If you are interested in learning more about the computer programs of tomorrow then, Understanding Neural Networks – A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention is the book you have been waiting for. ★★ Grab your copy today and learn ★★ ♦ The history of neural networks and the way modern neural networks work ♦ How deep learning works ♦ The different types of neural networks ♦ The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being COMPLETELY LOST ♦ How to build your own neural network! ♦ An effective technique for hacking into a neural network ♦ Some introductory advice for modifying parameters in the code-based environment ♦ And much more... You'll be an Einstein in no time! And even if you are already up to speed on the topic, this book has the power to illustrate what a neural network is in a way that is capable of inspiring new approaches and technical improvements. The world can't wait to see what you can do! Most of all, this book will feed the abstract reasoning region of your mind so that you are able to theorize and invent new types and styles of machine learning. So, what are you waiting for? Scroll up and click the buy now button to learn everything you need to know in no time!

Author : Joey Rogers
Publisher : Morgan Kaufmann
ISBN 13 : 9780125931151
Total Pages : 326 pages
Book Rating : 4.58/5 ( download)

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Download or read book Object-Oriented Neural Networks in C++ written by Joey Rogers and published by Morgan Kaufmann. This book was released on 1997 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is distinctive in that it implements nodes and links as base objects and then composes them into four different kinds of neural networks. Roger's writing is clear....The text and code are both quite readable. Overall, this book will be useful to anyone who wants to implement neural networks in C++ (and, to a lesser extent, in other object-oriented programming languages.)...I recommend this book to anyone who wants to implement neural networks in C++."--D.L. Chester, Newark, Delaware in COMPUTING REVIEWSObject-Oriented Neural Networks in C++ is a valuable tool for anyone who wants to understand, implement, or utilize neural networks. This book/disk package provides the reader with a foundation from which any neural network architecture can beconstructed. The author has employed object-oriented design and object-oriented programming concepts to develop a set of foundation neural network classes, and shows how these classes can be used to implement a variety of neural network architectures with a great deal of ease and flexibility. A wealth of neural network formulas (with standardized notation), object code implementations, and examples are provided to demonstrate the object-oriented approach to neural network architectures and to facilitatethe development of new neural network architectures. This is the first book to take full advantage of the reusable nature of neural network classes. Key Features * Describes how to use the classes provided to implement a variety of neural network architectures including ADALINE, Backpropagation, Self-Organizing, and BAM * Provides a set of reusable neural network classes, created in C++, capable of implementing any neural network architecture * Includes an IBM disk of the source code for the classes, which is platform independent * Includes an IBM disk with C++ programs described in the book

Author : Khalid Saeed
Publisher : Springer
ISBN 13 : 3642409253
Total Pages : 524 pages
Book Rating : 4.57/5 ( download)

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Download or read book Computer Information Systems and Industrial Management written by Khalid Saeed and published by Springer. This book was released on 2013-09-20 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th IFIP TC 8 International Conference, CISIM 2013, held in Cracow, Poland, in September 2013. The 44 papers presented in this volume were carefully reviewed and selected from over 60 submissions. They are organized in topical sections on biometric and biomedical applications; pattern recognition and image processing; various aspects of computer security, networking, algorithms, and industrial applications. The book also contains full papers of a keynote speech and the invited talk.

Author : Sandeep Kumar Satapathy
Publisher : Academic Press
ISBN 13 : 0128174277
Total Pages : 134 pages
Book Rating : 4.72/5 ( download)

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Download or read book EEG Brain Signal Classification for Epileptic Seizure Disorder Detection written by Sandeep Kumar Satapathy and published by Academic Press. This book was released on 2019-02-10 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final chapter present future developments in the field. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification. Explores machine learning techniques that have been modified and validated for the purpose of EEG signal classification using Discrete Wavelet Transform for the identification of epileptic seizures Encompasses machine learning techniques, providing an easily understood resource for both non-specialized readers and biomedical researchers Provides a number of experimental analyses, with their results discussed and appropriately validated