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The Neural Simulation Language

An overview of the Neural Simulation Language (NSL), including examples of a rich variety of brain models. The Neural Simulation Language;

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Neural Network Models of Cognition

simulation via neural networks. A central theme is that biobehaviorally constrained simulations provide a rigorous means to explore the implications;

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

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to;

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Blind Equalization in Neural Networks

simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.;

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Neural Networks

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to;

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Neural Networks

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to;

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Gas Turbines Modeling, Simulation, and Control

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the;

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Gas Turbines Modeling, Simulation, and Control

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the;

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Neural Networks & Fuzzy-Logic Control On Personal Computers & Workstations + D3

on the screen; real simulation experiments then execute immediately.Neural Networks and Fuzzy-Logic Control introduces a;

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Neural Networks for Cooperative Control of Multiple Robot Arms

is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, simulation and modelling.;

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Intelligent Control Based on Flexible Neural Networks

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 4. 5 Simulation Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 4. 5. 1 The Tank model;

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Neural Networks for Optimization and Signal Processing

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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Discrete-Time Neural Observers

Discrete-Time Neural Observers: Analysis and Applications presents recent advances in the theory of neural state estimation for discrete;

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Computer Simulation in Brain Science

techniques used in this area of scientific endeavour, few have proved as popular as computer simulation. Model neural networks are the subject;

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Computer Simulation in Brain Science

techniques used in this area of scientific endeavour, few have proved as popular as computer simulation. Model neural networks are the subject;

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Neural Network Methods in Natural Language Processing

. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics;

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Neural Network Methods in Natural Language Processing

. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics;

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Computational Explorations in Cognitive Neuroscience

in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate;

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Dysgraphia: Cognitive Processes, Remediation, and Neural Substrates

understanding the cognitive and neural bases of written language production. Equally surprising is that the treatment of written language deficits;

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Model Induction from Data

induction from data for the simulation of hydrodynamic processes in the aquatic environment. Firstly, some currently popular artificial neural;

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Model Induction from Data

induction from data for the simulation of hydrodynamic processes in the aquatic environment. Firstly, some currently popular artificial neural;

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Scaling and Particulate Fouling in Membrane Filtration Systems

induction from data for the simulation of hydrodynamic processes in the aquatic environment. Firstly, some currently popular artificial neural;

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Semi-empirical Neural Network Modeling and Digital Twins Development

-layered neural networks built on the finite element method (FEM). The strength of the new method presented in this book is the automatic inclusion;

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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

conventional techniques of fault analysis. The authors provide insight into artificial neural networks and their applications, with illustrations, for;

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Modeling, simulation and optimization of adsorption process

MATLAB. Readers will get a clear idea about the modeling, simulation and optimization of wastewater treatment plant.;

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The Neuroscience of Language

computational, connectionist neural network. The linguistic emphasis is on words and elementary syntactic rules. Introductory chapters focus on neuronal;

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The Neuroscience of Language

computational, connectionist neural network. The linguistic emphasis is on words and elementary syntactic rules. Introductory chapters focus on neuronal;

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