Titlebook: Intelligent Hybrid Systems; Fuzzy Logic, Neural Da Ruan Book 1997 Springer Science+Business Media New York 1997 Chaos.algorithms.filtering

laxative

揮舞

Repetitions

flaggy

A Genetic Algorithm for Mixed-Integer Optimisation in Power and Water System Design and Controltimal design and control problems. The GA is integrated with nuclear power station whole plant design and performance optimisation and optimal water system quality and quantity control problems. The objective of the nuclear power station design problem is to improve the overall performance of the th

極微小

Amendment

esearchers and engineers withup-to-date coverage of new results, methodologies and applications forbuilding intelligent systems capable of solving large-scale problems.978-1-4613-7838-9978-1-4615-6191-0

slow-wave-sleep

Novel Neural Algorithms for Solving Fuzzy Relation Equationspropose a more powerful algorithm for solving many types of fuzzy relation equations. The algorithm is based on a specially designed fuzzy neuron. This fuzzy neuron is found by replacing the operators of the traditional neuron by a pair of abstract fuzzy operators such as ., which we call fuzzy neur

旋轉(zhuǎn)一周

Data-Driven Identification of Key Variablesata set that is as close as possible to the given crisp partition. The contribution of each variable to this partition is then inferred from parameter values of the optimal Mahalanobis distance..The second approach is based on fuzzy measures. The principal idea is that we consider each data vector a

舊石器時(shí)代

Neurofuzzy-Chaos Engineering for Building Intelligent Adaptive Information Systemsoduces a way of using both chaos theory and a particular fuzzy neural network, called FuNN, for building adaptive, intelligent multimodular systems. A properly designed and trained FuNN can structurally capture major characteristics of a complex process under control. The use of this methodology for

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