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Characterization of Neural Activity Using Complex Network Theory

This book reports on the development and assessment of a novel framework for studying neural interactions (the connectome) and their;

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Characterization of Neural Activity Using Complex Network Theory

This book reports on the development and assessment of a novel framework for studying neural interactions (the connectome) and their;

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Mind Force Compendium

. Topics discussed include mind force theory hyper-network dynamics in neuroscience; neural resonance; a review into the generalised spectrum;

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Artificial Neural Networks

. Section 1 focuses on Biological neural networks, describing: spike activity prediction based on multi-neuron spike train data, neuromorphic;

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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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Neural Networks Theory

This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory;

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Simulating Neural Networks with Mathematica

will learn how to simulate neural network operations using Mathematica, and will learn techniques for employing Mathematica to assess neural;

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Artificial Neural Networks with Java

discussed in the book is using Java for neural network processing. You will use the Encog Java framework and discover how to do rapid development;

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Artificial Neural Networks with Java

discussed in the book is using Java for neural network processing. You will use the Encog Java framework and discover how to do rapid development;

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Quantum Computing

Quantum information and contemporary smart network domains are so large and complex as to be beyond the reach of current research;

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Mastering PyTorch

help you uncover expert techniques to get the most out of your data and build complex neural network models. The book starts with a quick;

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Qualitative Analysis and Control of Complex Neural Networks with Delays

explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics;

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Neural Network Perspectives on Cognition and Adaptive Robotics

using neural network architectures. Covering a wide range of mainstream area and trends, each chapter provides the latest information from a;

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Neural Network Perspectives on Cognition and Adaptive Robotics

using neural network architectures. Covering a wide range of mainstream area and trends, each chapter provides the latest information from a;

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Supervised Learning with Complex-valued Neural Networks

neural networks. Furthermore, to efficiently preserve the physical characteristics of these complex-valued signals, it is important to develop;

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Prediction of Vibrations & Cutting force of single point cutting tool in turning by using Artificial Neural Network

Prediction of Vibrations & Cutting Force of Single Point Cutting Tool in Turning by Using Artificial Neural Network is een boek van Matin;

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Artificial Neural Networks with Java

Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second;

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Knowledge-Based Neurocomputing

that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that;

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Neural Network Control of Nonlinear Discrete-Time Systems

methods in more complex systems. Borrowing from Biology Examining neurocontroller design in discrete-time for the first time, Neural Network;

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Brain Theory and Neural Networks

A biological neural network passes information between receptors and effectors by using electrical impulses. Neural networks are a;

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Introduction to the Theory of Neural Computation

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides;

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Introduction to the Theory of Neural Computation

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides;

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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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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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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the;

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