Competition-based Neural Networks with Robotic Applications

Competition-based neural networks with r

📁 Competition-based neural networks with robotic applications

✍ Jin, Long; Li, Shuai 📂 Library 📅 2018 🏛 Springer 🌐 English

Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competitio

Functional Networks with Applications: A

📁 Functional Networks with Applications: A Neural-Based Paradigm

✍ Enrique Castillo, Angel Cobo, José Manuel Gutiérrez, Rosa Eva Pruneda (auth.) 📂 Library 📅 1999 🏛 Springer US 🌐 English

<p>Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net works are inspired by the brain behavior and consist of one or several layers of neurons, or computing units, connected by links. Each artificial neuron

Composite Materials Technology: Neural N

📁 Composite Materials Technology: Neural Network Applications

✍ S.M. Sapuan, Iqbal Mohammed Mujtaba 📂 Library 📅 2009 🌐 English

Artificial neural networks (ANN) can provide new insight into the study of composite materials and can normally be combined with other artificial intelligence tools such as expert system, genetic algorithm, and fuzzy logic. Because research on this field is very new, there is only a limited amount o

Composite Materials Technology: Neural N

📁 Composite Materials Technology: Neural Network Applications

✍ S.M. Sapuan, Iqbal Mohammed Mujtaba 📂 Library 📅 2009 🏛 CRC Press 🌐 English

<P>Artificial neural networks (ANN) can provide new insight into the study of composite materials and can normally be combined with other artificial intelligence tools such as expert system, genetic algorithm, and fuzzy logic. Because research on this field is very new, there is only a limited amoun

Artificial Neural Networks with Java: To

📁 Artificial Neural Networks with Java: Tools for Building Neural Network Applications

✍ Igor Livshin 📂 Library 📅 2021 🏛 Apress 🌐 English

<div>Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps you unde

Artificial Neural Networks with Java: To

📁 Artificial Neural Networks with Java: Tools for Building Neural Network Applications

✍ Igor Livshin 📂 Library 📅 2021 🏛 Apress 🌐 English

<div>Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps you unde