Titlebook: Soft Computing in Industrial Applications; Yukinori Suzuki,Seppo Ovaska,Yasuhiko Dote Conference proceedings 2000 Springer-Verlag London L

多骨

Facility Location Using Neural Networksems. Our neural approach uses neuron normalization as well as a conscience mechanism to consistently find good feasible solutions. To test our neural approach, a set of test problems from the literature has been used. Further research avenues are suggested.

chandel

衣服

Fuzzy Process Model Development with Missing Dataed experts’s knowledge was the basis for the research’s development. This paper will present the state of the art research on the application of artificial intelligence and statistical techniques for handling the missing data problem.

音乐等

Decomposed Fuzzy Models for Modelling and Identification of Dynamic Systems Evolution of identification algorithms for the decomposed fuzzy model is suggested. A comparative study of the dynamic system identification with the conventional relational model and the decomposed relational model is presented for Box-Jenkins data.

Glossy

Design and Application of Block-Oriented Fuzzy Models — Fuzzy Hammerstein Model linear dynamic model in series. A constrained recursive least-squares algorithm is used for the simultaneous identification of the steady-state and the dynamic part of the FH model. To demonstrate the proposed modelling approach, an electrical water-heater process is used as an example.

飞行员

Evolving Fuzzy Detectives: An Investigation into the Evolution of Fuzzy Rulesper concludes: 1. that many factors affect accuracy of classification, 2. intelligibility and processing speed mainly seem to be affected by the fuzzy membership functions and 3. noise can cause loss of accuracy proportionate to the square of noise.

inquisitive

licence

endocardium

分解