Programming Neural Networks With Encog 3 In C

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Programming Neural Networks with Encog 2 in Java

Author : Jeff Heaton
Publisher :
ISBN 13 : 9781604390070
Total Pages : 0 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Programming Neural Networks with Encog 2 in Java by : Jeff Heaton

Download or read book Programming Neural Networks with Encog 2 in Java 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: Encog is an advanced neural network and bot programming framework. This book focuses on using Encog 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, hybrid training, Real world examples tie the book together. Pattern recognition applications such as OCR, image and text recognition will be introduced. You will see how to apply time series and forecasting and how to financial markets. All of the Encog neural network components will be demonstrated to show how to use them in your own neural network applications.

Programming Neural Networks with Encog 3 in Java

Author : Jeff Heaton
Publisher :
ISBN 13 : 9781604390216
Total Pages : 242 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Programming Neural Networks with Encog 3 in Java by : Jeff Heaton

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.

Hands-On Neural Network Programming with C#

Author : Matt R. Cole
Publisher : Packt Publishing Ltd
ISBN 13 : 1789619866
Total Pages : 320 pages
Book Rating : 4.7/5 (896 download)

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Book Synopsis Hands-On Neural Network Programming with C# by : Matt R. Cole

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

Introduction to Neural Networks with Java

Author : Jeff Heaton
Publisher : Heaton Research Incorporated
ISBN 13 : 097732060X
Total Pages : 380 pages
Book Rating : 4.9/5 (773 download)

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Book Synopsis Introduction to Neural Networks with Java by : Jeff Heaton

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)

Leaching Kinetics of Valuable Metals

Author : Stefano Ubaldini
Publisher : MDPI
ISBN 13 : 3036505482
Total Pages : 188 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Leaching Kinetics of Valuable Metals by : Stefano Ubaldini

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.

Advances in Artificial Life, Evolutionary Computation and Systems Chemistry

Author : Federico Rossi
Publisher : Springer
ISBN 13 : 3319326953
Total Pages : 217 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Advances in Artificial Life, Evolutionary Computation and Systems Chemistry by : Federico Rossi

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.

Man–Machine Interactions 4

Author : Aleksandra Gruca
Publisher : Springer
ISBN 13 : 3319234374
Total Pages : 690 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Man–Machine Interactions 4 by : Aleksandra Gruca

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 690 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.

C++ Neural Networks and Fuzzy Logic

Author : Hayagriva V. Rao
Publisher :
ISBN 13 : 9788170296942
Total Pages : 551 pages
Book Rating : 4.2/5 (969 download)

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Book Synopsis C++ Neural Networks and Fuzzy Logic by : Hayagriva V. Rao

Download or read book C++ Neural Networks and Fuzzy Logic written by Hayagriva V. Rao and published by . This book was released on 1996 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Reverse Engineering the Mind

Author : Florian Neukart
Publisher : Springer
ISBN 13 : 3658161760
Total Pages : 404 pages
Book Rating : 4.6/5 (581 download)

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Book Synopsis Reverse Engineering the Mind by : Florian Neukart

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 404 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.

Computer Information Systems and Industrial Management

Author : Khalid Saeed
Publisher : Springer
ISBN 13 : 3642409253
Total Pages : 541 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Computer Information Systems and Industrial Management by : Khalid Saeed

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 541 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.

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

Author : Sandeep Kumar Satapathy
Publisher : Academic Press
ISBN 13 : 0128174277
Total Pages : 136 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis EEG Brain Signal Classification for Epileptic Seizure Disorder Detection by : Sandeep Kumar Satapathy

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 136 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

Introduction to Neural Networks for C# (2nd Edition)

Author : Jeff Heaton
Publisher : Heaton Research, Incorporated
ISBN 13 : 9781604390094
Total Pages : 0 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Introduction to Neural Networks for C# (2nd Edition) by : Jeff Heaton

Download or read book Introduction to Neural Networks for C# (2nd Edition) written by Jeff Heaton and published by Heaton Research, Incorporated. This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This resource introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Training techniques, such as backpropagation, genetic algorithms, and simulated annealing are also introduced.

Artificial Intelligence for Humans, Volume 2

Author : Jeff Heaton
Publisher : CreateSpace
ISBN 13 : 9781499720570
Total Pages : 242 pages
Book Rating : 4.7/5 (25 download)

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Book Synopsis Artificial Intelligence for Humans, Volume 2 by : Jeff Heaton

Download or read book Artificial Intelligence for Humans, Volume 2 written by Jeff Heaton and published by CreateSpace. This book was released on 2014-05-28 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature can be a great source of inspiration for artificial intelligence algorithms because its technology is considerably more advanced than our own. Among its wonders are strong AI, nanotechnology, and advanced robotics. Nature can therefore serve as a guide for real-life problem solving. In this book, you will encounter algorithms influenced by ants, bees, genomes, birds, and cells that provide practical methods for many types of AI situations. Although nature is the muse behind the methods, we are not duplicating its exact processes. The complex behaviors in nature merely provide inspiration in our quest to gain new insights about data. Artificial Intelligence for Humans is a book series meant to teach AI to those readers who lack an extensive mathematical background. The reader only needs knowledge of basic college algebra and computer programming. Additional topics are thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, and Python. Other languages are planned. No knowledge of biology is needed to read this book. With a forward by Dave Snell.

Artificial Intelligence for Big Data

Author : Anand Deshpande
Publisher : Packt Publishing Ltd
ISBN 13 : 1788476018
Total Pages : 371 pages
Book Rating : 4.7/5 (884 download)

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Book Synopsis Artificial Intelligence for Big Data by : Anand Deshpande

Download or read book Artificial Intelligence for Big Data written by Anand Deshpande and published by Packt Publishing Ltd. This book was released on 2018-05-22 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.

Practical Neural Network Recipes in C++

Author : Timothy Masters
Publisher : Elsevier
ISBN 13 : 9780124790414
Total Pages : 493 pages
Book Rating : 4.7/5 (94 download)

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Book Synopsis Practical Neural Network Recipes in C++ by : Timothy Masters

Download or read book Practical Neural Network Recipes in C++ written by Timothy Masters and published by Elsevier. This book was released on 1993 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence for Humans

Author : Jeff Heaton
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781505714340
Total Pages : 0 pages
Book Rating : 4.7/5 (143 download)

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Book Synopsis Artificial Intelligence for Humans by : Jeff Heaton

Download or read book Artificial Intelligence for Humans written by Jeff Heaton and published by Createspace Independent Publishing Platform. This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: « Artifical Intelligence for Humans is a book series meant to teach AI to those readers who lack an extensive mathematical background. The reader only needs knowledge of basic college algebra and computer programming. Additional topics are thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, and Python. Other languages are planned. »--

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : Isabelle Bloch
Publisher : Springer
ISBN 13 : 3642166873
Total Pages : 588 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Isabelle Bloch

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Isabelle Bloch and published by Springer. This book was released on 2010-11-02 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition is a central topic in contemporary computer sciences, with continuously evolving topics, challenges, and methods, including machine learning, content-based image retrieval, and model- and knowledge-based - proaches, just to name a few. The Iberoamerican Congress on Pattern Recog- tion (CIARP) has become established as a high-quality conference, highlighting the recent evolution of the domain. These proceedings include all papers presented during the 15th edition of this conference, held in Sao Paulo, Brazil, in November 2010. As was the case for previous conferences, CIARP 2010 attracted parti- pants from around the world with the aim of promoting and disseminating - going research on mathematical methods and computing techniques for pattern recognition, computer vision, image analysis, and speech recognition, as well as their applications in such diverse areas as robotics, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition, to name only a few of them. Moreover, it provided a forum for scienti?c research, experience exchange, sharing new kno- edge and increasing cooperation between research groups in pattern recognition and related areas. It is important to underline that these conferences have contributed sign- icantly to the growth of national associations for pattern recognition in the Iberoamerican region, all of them as members of the International Association for Pattern Recognition (IAPR).