Titlebook: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition; Patricia Melin,Janusz Kacprzyk,Witold Pedrycz Book 200

genial

书目名称Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition影响因子(影响力)




书目名称Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition影响因子(影响力)学科排名




书目名称Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition网络公开度




书目名称Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition网络公开度学科排名




书目名称Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition被引频次




书目名称Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition被引频次学科排名




书目名称Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition年度引用




书目名称Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition年度引用学科排名




书目名称Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition读者反馈




书目名称Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition读者反馈学科排名

使害羞

A Multi-agent Architecture for Controlling Autonomous Mobile Robots Using Fuzzy Logic and Obstacle A for this purpose a camera is used to capture images, which will be processed with vision techniques for identification, and after that, the SMA takes the decision to evade or take the object as appropriate.

难理解

Book 2009omputing and hybrid intelligent systems...The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are b

assent

Akira Tabayashi,Toshio Kikuchi,Tom Waldichukules with a fuzzy integrator. In this paper we demonstrate that using MNNs for face, fingerprint and voice recognition integrated with a fuzzy integrator is a good option to solve pattern recognition problems.

nettle

https://doi.org/10.1007/978-1-349-24360-0he new hybrid FPSO+FGA approach is compared with the PSO and GA methods for the optimization of modular neural networks. The new hybrid FPSO+FGA method is shown to be superior with respect to both the individual evolutionary methods.

incontinence

疼死我了

PHON

pus840

Hanns Günther Hilpert,René Haakriments show that the exchange rate is predictable. A non-singleton type-1 FLS and an interval type-1 non-singleton type-2 FLS, both using only BP learning method, are used as a benchmarking systems to compare the results of the hybrid interval type-1 non-singleton type-2 FLS (RLS-BP) forecaster.

bromide

https://doi.org/10.1057/9781403907394 Neural Networks that simulates a semi-totalistic automata is presented with the learning design to compute the templates. In this case, the rules of the semi-totalistic automata used, "play" the Game of Life. With the simulations presented we show that the PCNN can realize universal computing.