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Clustering and Neural Network Approaches for General NN-Simulator

This book is based on the basis that clustering and neural networks methods. The clustering algorithms (k-means, and k-medoids) are;

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Neural Network Control Of Robots And Nonlinear Systems

Proofs For NN Controllers For Robot Arms, Practical Robotic systems with high frequency vibratory modes, force control and a general class of non;

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Clustering

explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential;

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An Introduction to Network Simulator Ns2

An Introduction to Network Simulator NS2 is a beginners' guide for network simulator NS2, an open-source discrete event simulator designed;

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Soft Computing: Fundamentals and Applications

Genetic Algorithms (GAs), Fuzzy Logic (FL), Neural Networks (NNs), and others. To realize the need for a non-traditional optimization tool like GA;

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Neural Networks and Statistical Learning

, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with;

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Advances in Network Clustering and Blockmodeling

: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing;

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Neural Networks for Applied Sciences and Engineering

In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering;

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Neural and Adaptive Systems

unifies classical linear adaptive systems approaches with the modern advances in neural networks. It is rich in examples and practical insight;

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Neural Networks for Robotics

, control, sensing, planning, and other techniques by means of artificial neural networks for robotics.;

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Neural Networks for Robotics

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost;

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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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Advances in Neural Networks - ISNN 2016

cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks;

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On Multicollinearity and Artificial Neural Networks

as Statistical Package for the Social Science (SPPS) Release 7.0 and 10.0 for Windows, MATLAB version 5.3 and Stuttgart Neural Network;

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Wireless Network Simulation

useful for those interested in discrete event simulation DES, general theory of simulation, wireless simulation and ns-3 simulator.;

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Computational Intelligence in Pattern Recognition

neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining;

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Advances in Neural Networks - ISNN 2018

many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical;

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Real-Time Multi-Chip Neural Network for Cognitive Systems

neurons process information and communicate with each other, in effect efficiently complementing in-vivo experiments. In spiking neural networks;

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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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Supervised and Unsupervised Pattern Recognition

research begins with an introduction to Neural Networks, classifiers, and feature extraction methods. It then addresses unsupervised and fuzzy;

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Neural Information Processing

approaches; social network computing; spiking neuron and related models; text computing using neural techniques; time-series and related models; and;

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Machine Intelligence: Recent Advances

, surveys on MAC protocols for Cognitive Radio, QoS in wireless networks, and mobile agents in application migration are presented in Section IV;

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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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Principles Of Artificial Neural Networks (2nd Edition)

major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches;

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Pattern Recognition Using Neural Networks

text is suitable for an advanced undergraduate course in pattern recognition or neural networks, and is also useful as a reference and a;

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Therapy and the Neural Network Model

of the neural network model, and the general aims of therapy. It elucidates components of the neural network model of learning such as reward;

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Therapy and the Neural Network Model

of the neural network model, and the general aims of therapy. It elucidates components of the neural network model of learning such as reward;

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