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Neural Network Modeling

Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network;

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A Comprehensive Guide to Neural Network Modeling

As artificial neural networks have been gaining importance in the field of engineering, this compilation aims to review the scientific;

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Neural Networks Modeling and Control

Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, then a RHONN is used to design;

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Gas Turbines Modeling, Simulation, and Control

modeling, simulation, and control of gas turbines (GTs) using artificial neural networks (ANNs). After delivering a brief introduction to GT;

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Gas Turbines Modeling, Simulation, and Control

modeling, simulation, and control of gas turbines (GTs) using artificial neural networks (ANNs). After delivering a brief introduction to GT;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Semi-empirical Neural Network Modeling and Digital Twins Development

Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network;

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Artificial Neural Networks

these weights are adaptable, as they can be adjusted according to a learning algorithm. The usage of artificial neural networks today;

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Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network;

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Advanced Methods of Solid Oxide Fuel Cell Modeling

the addition of numerous factors that are difficult to determine. The artificial neural network (ANN) can be applied to simulate an object's;

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Advanced Methods of Solid Oxide Fuel Cell Modeling

the addition of numerous factors that are difficult to determine. The artificial neural network (ANN) can be applied to simulate an object's;

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Industrial Methanol Reactor Dynamic Modeling and Optimization

potential as a means to compensate for lack of the phenomenological kinetic modeling techniques. Next based on accurate neural network rate a hybrid;

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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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Corticonics

in neural network modeling. What is needed is a new approach to an understanding of the mammalian cerebral cortex that will provide a link between;

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The Neural Simulation Language

presents an overview of neural network and schema modeling, a brief history of NSL, and a detailed discussion of the new version, NSL 3.0. It;

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Cognitive Modeling

Computational modeling plays a central role in cognitive science. This book provides a comprehensive introduction to computational models;

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Computational Neurogenetic Modeling

interactions between genes. These include neural network models and their integration with gene network models. This new area brings together knowledge;

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Neural Network Programming with Python

This book is a guide on how to implement a neural network in the Python programming language. It begins by giving you a brief overview;

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Building Neural Networks

This practical introduction describes the kinds of real-world problems neural network technology can solve. Surveying a range of neural;

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Advances in Neural Network Research and Applications

This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010;

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Recurrent Neural Networks with Python Quick Start Guide

Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network;

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Make Your Own Neural Network

Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it;

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Computational Models of Brain and Behavior

A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles;

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Wavelet Neural Networks

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications;

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Modeling in the Neurosciences

With contributions from more than 40 renowned experts, Modeling in the Neurosciences: From Ionic Channels to Neural Networks is essential;

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