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Neural Networks with Discontinuous/Impact Activations

This book presents as its main subject new models in mathematical neuroscience. A wide range of neural networks models with discontinuities;

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Stability Of Stationary Sets In Control Systems With Discontinuous Nonlinearities

This book presents a development of the frequency-domain approach to the stability study of stationary sets of systems with discontinuous;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book;

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Neural Networks with R

in neural networks with R, to implement them in your applications * Build smart systems using the power of deep learning * Real-world case studies;

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Simulating Neural Networks with Mathematica

implement and experiment with neural network architectures. *Addresses a major topic related to neural networks in each chapter, or a specific type;

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Deep Learning from Scratch Building with Python from First Principles

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many;

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Artificial Neural Networks in Biological and Environmental Analysis

, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and;

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Artificial Neural Networks in Biological and Environmental Analysis

, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and;

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Complex-Valued Neural Networks

This book covers the hot topics and applications surrounding complex-valued neural networks. It demonstrates advanced theories with a wide;

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Fundamentals Neural NetworksUnited State

An exceptionally clear, thorough introduction to neural networks written at an elementary level. Written with the beginning student in mind;

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Complex-valued Neural Networks

-Dimensional Parameters covers the current state-of-the-art theories and applications of neural networks with high-dimensional parameters such as;

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Blind Equalization in Neural Networks

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Exploring Neural Networks with C#

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 Network Programming with Python

network works is also explored. You are then guided on how to implement neural networks with Neupy, another Python library.The following topics;

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Advanced Models of Neural Networks

with neural networks and dynamical systems theory.;

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Neural Networks with Keras Cookbook

about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for;

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Exploring Neural Networks with C#

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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The Essence of Neural Networks

/>The Essence of Neural Networks is designed to be a first course on neural networks for undergraduate students, with the mathematics contained;

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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Neural Network Programming with Java

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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Introduction to Deep Learning and Neural Networks with PythonT

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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Complex-valued Neural Networks

In recent years, complex-valued neural networks have widened the scope of application in optoelectronics, imaging, remote sensing, quantum;

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New Developments In Artificial Neural Networks Research

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include a;

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Learning in Energy-Efficient Neuromorphic Computing - Algorithm and Architecture Co-Design

applications This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities-and provides co-design and;

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