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This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming;
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powerful methodology that is presented in this interesting book. This is a practical guide to the application of artificial neural networks. Geared;
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powerful methodology that is presented in this interesting book. This is a practical guide to the application of artificial neural networks. Geared;
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Neural Networks for Control highlights key issues in learning control and identifies research directions that could lead to practical;
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coverage of neural network applications in a variety of problems of both theoretical and practical interest.;
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coverage of neural network applications in a variety of problems of both theoretical and practical interest.;
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Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you;
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Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you;
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of the most reputable C++ libraries * Find solutions to real-world problems related to network programming with ready-to-use recipes using this;
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optimization problems. The text includes the practical application of neural networks to harmonics evaluation and evolutionary programming to reactive;
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This practical introduction describes the kinds of real-world problems neural network technology can solve. Surveying a range of neural;
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Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second;
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* Provides up-to-date coverage of neural network paradigms and applications* Presents the work of internationally renowned experts;
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will learn to implement neural network models in your applications with the help of practical examples in the book. Style and approach A;
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Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its;
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models and practical interest. Offers a new approach to neural networks using a unified simulation model at all stages of design;
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Centered around major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its;
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This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005;
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Networks with C# presents the important properties of neural networks-while keeping the complex mathematics to a minimum. Explaining how to build;
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Networks with C# presents the important properties of neural networks while keeping the complex mathematics to a minimum. Explaining how to build;
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Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain;
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techniques and practical examples presented in this book will allow you to bring your neural network routines to a higher level. What You Will;
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Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new;
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neural network concepts. It contains an overview of neural network architectures for practical data analysis followed by extensive step-by-step;
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Introduction to Deep Learning and Neural Networks with PythonT: A Practical Guide is an intensive step-by-step guide for neuroscientists to;
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you in building simple and complex neural networks through practical and creative solutions for solving real-world data problems. Starting;
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of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;
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