Applications of Soft Computing: 28-29 July 1997, San Diego, CaliforniaBruno Bosacchi, James C. Bezdek, David B. Fogel |
Contents
Evolutionary hierarchical model for predicting values from realworld time series 316515 | 15 |
an example in developing control | 25 |
Topological analysis of chaotic time series Invited Paper 316532 | 32 |
Copyright | |
18 other sections not shown
Common terms and phrases
adaptive analysis application approach attraction basins basis function centers chromosome classification clustering coefficients compression convergence crossover data set defined defuzzification dimensional dynamical system encoding epoch evaluation evolutionary algorithms Evolutionary Computation fCost Figure filter fitness floorplan Fogel forecast FOSART fuzzy agent fuzzy controller fuzzy logic fuzzy rules fuzzy set fuzzy subset fuzzy system Gaussian genetic algorithm GMDH growing neural gas implemented initial input patterns input space iterations Keywords layer learning rate linear mean squared error membership functions membership value method microcalcifications multiple equation mutation operators neuro-fuzzy neuron node normalized objective obtained optical optimization output parameters performance pixel plasma population problem Programming reconstruction recurrent neural networks representation sample selected sensor shown simulation Soft Computing solutions SPIE Vol squared error statistical structure synaptic links techniques temperature topological training data variable wavelet weights wire-length