By Elie Sanchez
ISBN-10: 9810224230
ISBN-13: 9789810224233
Ever when you consider that fuzzy good judgment used to be brought through Lotfi Zadeh within the mid-sixties and genetic algorithms through John Holland within the early seventies, those fields generally been topics of educational learn across the world. over the past few years, they've been experiencing super fast development within the business global, the place they've been proven to be very potent in fixing real-world difficulties. those gigantic fields, including neurocomputing concepts, are well-known as significant elements of soppy computing: a collection of computing applied sciences already driving the waves of the subsequent century to provide the human-centered clever structures of the next day; the gathering of papers awarded during this booklet exhibits the best way. The publication additionally comprises an intensive bibliography on fuzzy good judgment and genetic algorithms.
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Additional info for Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives
Sample text
The process tunes the structure of the modifiable membership functions on the antecedent part and coefficient weights on the consequent part of the fuzzy model by using the delta rule, respectively. 7 By the two tuning processes, we can obtain the minimal and optimal structures of the fuzzy model. The proposed method can be alternative to the conventional operations by human experts. The relation between inputs and outputs is automatically expressed as the fuzzy rules and the combination of the fuzzy rules describe the linguistic rules.
The evaluation function depends upon the task and characteristics of the manipulator. When the task or characteristics change, another evaluation function must be defined again. Therefore, in practical use, an algorithm is needed to define evaluation functions automatically from numerical data sets of skilled operators. Skill Acquisition and Skill-Based Motion Planning for ... 21 This paper proposes a modeling method of criteria of the skilled operators to evaluate motion plans. Fuzzy ID3 is employed to extract important factors from numerical data set of skilled operators and a group method of data handling (GMDH) as a nonlinear regressive model to express their criteria.
The evaluation function depends upon the task and characteristics of the manipulator. When the task or characteristics change, another evaluation function must be defined again. Therefore, in practical use, an algorithm is needed to define evaluation functions automatically from numerical data sets of skilled operators. Skill Acquisition and Skill-Based Motion Planning for ... 21 This paper proposes a modeling method of criteria of the skilled operators to evaluate motion plans. Fuzzy ID3 is employed to extract important factors from numerical data set of skilled operators and a group method of data handling (GMDH) as a nonlinear regressive model to express their criteria.
Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives by Elie Sanchez
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