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

genial

書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition影響因子(影響力)




書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition影響因子(影響力)學(xué)科排名




書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition網(wǎng)絡(luò)公開度




書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition被引頻次




書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition被引頻次學(xué)科排名




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




書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition年度引用學(xué)科排名




書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition讀者反饋




書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition讀者反饋學(xué)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.

難理解

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.