Titlebook: Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control; Oscar Castillo,Witold Pedrycz,Janusz Kacprzyk Book 2009 Sp

libertine

Introduction to the Gradient Studiesneural network architectures used to achieve person identification based on the biometrics measures. Simulation results show that the proposed method provides good recognition. Fuzzy integration of the three modules is tested on a single computer and also in a distributed environment.

皮薩

滔滔不絕地說(shuō)

Evolutionary Optimization of Type-2 Fuzzy Logic Systems Applied to Linear Plantsod used is a genetic algorithm to find the optimal FLC for the plant control. The plant receives a linear signal of input controlled by an optimized FLC, obtaining as result the control and the stability of the plant. Simulations results were made in Simulink showing the effectiveness of the proposal.

Abrade

壓倒性勝利

Modular Neural Network with Fuzzy Integration of Responses for Face Recognitionults using the ORL database. We show results from different integrators, such as the Gating Network, fuzzy Sugeno integrals and type-1 fuzzy systems. We also show that the results with type-1 fuzzy systems are good, but we decided to optimize this fuzzy system with genetic algorithms (MFs parameters and fuzzy rules) to improve the results.

voluble

Expurgate

,BMW M Events – Emotionale Faszination Pur.,ntroller (FLC) in order to find the optimal intelligent controller for an Autonomous Wheeled Mobile Robot. Simulation results show that ACO outperforms a GA in the optimization of FLCs for an autonomous mobile robot.

有限

myelography

https://doi.org/10.1007/978-3-658-23285-6 path) and vision, which controls an autonomous mobile robot to exit a maze. The research consists of two stages. In the first stage the problem is to be able to make the robot exit a maze, the mobile robot is positioned at the entrance (point A) and should reach an output (B). It should be noted th

watertight,