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Artificial Neural Network Training & Software Implementation Techniques

Artificial neural networks (ANN) are widely used in diverse fields of science and industry. Though there have been numerous techniques used;

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Artificial Neural Network Applications for Software Reliability Prediction

This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction;

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Neural Networks for Complete Beginners

. The back-propagation algorithm, which is used for training artificial neural networks, is discussed. The book also guides you through the;

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Focus on Artificial Neural Networks

of pharamceutical microemulsions; massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images;

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Artificial Neural Networks

artificial neural networks to solve practical problems arising from different areas of knowledge. It also describes the various implementation;

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Applied Neural Networks and Soft Computing

every aspect to give readers a wider perspective. Further, artificial neural networks (vaguely inspired by biological neural network) are also;

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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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Introduction to Deep Learning and Neural Networks with PythonT

gradient descent algorithm to manually perform all calculations in both the forward and backward passes of training a neural network.

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Artificial Neural Network Applications in Business and Engineering

, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.;

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Artificial Neural Network Applications in Business and Engineering

, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.;

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Evolutionary Machine Learning Techniques

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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Evolutionary Machine Learning Techniques

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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Robot Control using an Artificial Neural Network

acceleration. The work considered the necessary hardware, principles of neural networks and controlling techniques. The hardware comprised of a robot;

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New Developments in Computer Networks

of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;

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Implementation Techniques

This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive;

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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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Artificial Neural Networks with Java

understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be;

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Artificial Neural Networks with Java

understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be;

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Introduction to Neural Networks for C#, 2nd Edition

This resource introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Training techniques, such as;

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Artificial Neural Networks in Biological and Environmental Analysis

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;

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Artificial Neural Networks in Biological and Environmental Analysis

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;

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Deep Learning Quick Reference

monitor the training of deep neural networks and solve binary classification problems using deep learning. Readers will then learn to optimize;

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Parallel Architectures for Artificial Neural Networks

aspects of parallel implementation for all major artificial neural network models. The book details implementations on varoius processor;

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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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Artificial Intelligence in Civil Engineering

This book describes the application of different Artificial Intelligence techniques(Artificial Neural Network, Adaptive Neurofuzzy;

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Agile Artificial Intelligence in Pharo

Cover classical algorithms commonly used as artificial intelligence techniques and program agile artificial intelligence applications using;

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