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An exceptionally clear, thorough introduction to neural networks written at an elementary level. Written with the beginning student in mind;
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"Introduction to Neural Networks for Java" introduces the Java programmer to the world of Neural Networks and Artificial Intelligence;
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The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms;
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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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comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons and neural networks, model predictive control;
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networks Methods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented framework Working;
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search, and even conversational systems that generate answers in response to natural language questions. An Introduction to Neural Information;
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new entry in this arena - neural networks. Naturally Intelligent Systems offers a comprehensive introduction to these exciting systems. It;
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: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural networks;
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This book is an exploration of an artificial neural network. It has been created to suit even the complete beginners to artificial neural;
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This resource introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Training techniques, such as;
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comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from;
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This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks;
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accessible to nonspecialists. The first chapter introduces various approaches to animal behavior and provides an informal introduction to neural;
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building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to;
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prominent research centers worldwide, it serves as an introduction to how neural networks can be used for accurate prediction or diagnosis and shows;
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Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;
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Aimed at graduates and potential researchers, this is a comprehensive introduction to the mathematical aspects of spin glasses and neural;
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Aimed at graduates and potential researchers, this is a comprehensive introduction to the mathematical aspects of spin glasses and neural;
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comprehensive introduction to neural network methods for solving differential equations together with recent developments in the techniques and their;
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This introduction to neural networks describes what they are, what they can do and how they do it. While some scientific background;
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This book is designed to identify some of the current applications and techniques of artificial intelligence as an aid to solving problems;
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A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but;
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Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how;
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comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with the introduction of the vanilla GNN;
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This book provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with;
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This book is an exploration of neural networks and how to implement them in Java. First, the reader is guided so as to understand what;
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