Programming Neural Networks With Encog 2 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 : 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 : 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 : 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 : Matt R. Cole
Publisher : Packt Publishing Ltd
ISBN 13 : 1789619866
Total Pages : 320 pages
Book Rating : 4.67/5 ( download)

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Download or read book Hands-On Neural Network Programming with C# written by Matt R. Cole and published by Packt Publishing Ltd. This book was released on 2018-09-29 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create and unleash the power of neural networks by implementing C# and .Net code Key FeaturesGet a strong foundation of neural networks with access to various machine learning and deep learning librariesReal-world case studies illustrating various neural network techniques and architectures used by practitionersCutting-edge coverage of Deep Networks, optimization algorithms, convolutional networks, autoencoders and many moreBook Description Neural networks have made a surprise comeback in the last few years and have brought tremendous innovation in the world of artificial intelligence. The goal of this book is to provide C# programmers with practical guidance in solving complex computational challenges using neural networks and C# libraries such as CNTK, and TensorFlowSharp. This book will take you on a step-by-step practical journey, covering everything from the mathematical and theoretical aspects of neural networks, to building your own deep neural networks into your applications with the C# and .NET frameworks. This book begins by giving you a quick refresher of neural networks. You will learn how to build a neural network from scratch using packages such as Encog, Aforge, and Accord. You will learn about various concepts and techniques, such as deep networks, perceptrons, optimization algorithms, convolutional networks, and autoencoders. You will learn ways to add intelligent features to your .NET apps, such as facial and motion detection, object detection and labeling, language understanding, knowledge, and intelligent search. Throughout this book, you will be working on interesting demonstrations that will make it easier to implement complex neural networks in your enterprise applications. What you will learnUnderstand perceptrons and how to implement them in C#Learn how to train and visualize a neural network using cognitive servicesPerform image recognition for detecting and labeling objects using C# and TensorFlowSharpDetect specific image characteristics such as a face using Accord.NetDemonstrate particle swarm optimization using a simple XOR problem and EncogTrain convolutional neural networks using ConvNetSharpFind optimal parameters for your neural network functions using numeric and heuristic optimization techniques.Who this book is for This book is for Machine Learning Engineers, Data Scientists, Deep Learning Aspirants and Data Analysts who are now looking to move into advanced machine learning and deep learning with C#. Prior knowledge of machine learning and working experience with C# programming is required to take most out of this book

Author : Aleksandra Gruca
Publisher : Springer
ISBN 13 : 3319234374
Total Pages : 711 pages
Book Rating : 4.73/5 ( download)

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Download or read book Man–Machine Interactions 4 written by Aleksandra Gruca and published by Springer. This book was released on 2015-10-01 with total page 711 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the current state of research on development and application of methods, algorithms, tools and systems associated with the studies on man-machine interaction. Modern machines and computer systems are designed not only to process information, but also to work in dynamic environment, supporting or even replacing human activities in areas such as business, industry, medicine or military. The interdisciplinary field of research on man-machine interactions focuses on broad range of aspects related to the ways in which human make or use computational artifacts, systems and infrastructure. This monograph is the fourth edition in the series and presents new concepts concerning analysis, design and evaluation of man-machine systems. The selection of high-quality, original papers covers a wide scope of research topics focused on the main problems and challenges encountered within rapidly evolving new forms of human-machine relationships. The presented material is structured into following sections: human-computer interfaces, robot, control, embedded and navigation systems, bio-data analysis and mining, biomedical signal processing, image and motion data processing, decision support and expert systems, pattern recognition, fuzzy systems, algorithms and optimisation, computer networks and mobile technologies, and data management systems.

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 : 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 : Jeff Heaton
Publisher : Heaton Research Incorporated
ISBN 13 : 097732060X
Total Pages : 380 pages
Book Rating : 4.08/5 ( download)

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Download or read book Introduction to Neural Networks with Java written by Jeff Heaton and published by Heaton Research Incorporated. This book was released on 2005 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: In addition to showing the programmer how to construct Neural Networks, the book discusses the Java Object Oriented Neural Engine (JOONE), a free open source Java neural engine. (Computers)

Author : Florian Neukart
Publisher : Springer
ISBN 13 : 3658161760
Total Pages : 383 pages
Book Rating : 4.67/5 ( download)

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Download or read book Reverse Engineering the Mind written by Florian Neukart and published by Springer. This book was released on 2016-10-24 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Florian Neukart describes methods for interpreting signals in the human brain in combination with state of the art AI, allowing for the creation of artificial conscious entities (ACE). Key methods are to establish a symbiotic relationship between a biological brain, sensors, AI and quantum hard- and software, resulting in solutions for the continuous consciousness-problem as well as other state of the art problems. The research conducted by the author attracts considerable attention, as there is a deep urge for people to understand what advanced technology means in terms of the future of mankind. This work marks the beginning of a journey – the journey towards machines with conscious action and artificially accelerated human evolution.