Titlebook: Engineering Evolutionary Intelligent Systems; Ajith Abraham,Crina Grosan,Witold Pedrycz Book 2008 Springer-Verlag Berlin Heidelberg 2008 E

古生物学

书目名称Engineering Evolutionary Intelligent Systems影响因子(影响力)




书目名称Engineering Evolutionary Intelligent Systems影响因子(影响力)学科排名




书目名称Engineering Evolutionary Intelligent Systems网络公开度




书目名称Engineering Evolutionary Intelligent Systems网络公开度学科排名




书目名称Engineering Evolutionary Intelligent Systems被引频次




书目名称Engineering Evolutionary Intelligent Systems被引频次学科排名




书目名称Engineering Evolutionary Intelligent Systems年度引用




书目名称Engineering Evolutionary Intelligent Systems年度引用学科排名




书目名称Engineering Evolutionary Intelligent Systems读者反馈




书目名称Engineering Evolutionary Intelligent Systems读者反馈学科排名

宏伟

A Grammatical Genetic Programming Representation for Radial Basis Function Networks,n Networks. An introduction to the underlying algorithms of the hybrid approach is outlined, followed by a description of a grammatical representation for Radial Basis Function networks. The hybrid algorithm is tested on five benchmark classification problem instances, and its performance is found to be encouraging.

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Martina Gambato,Alberto Ferrareseptimized multilayer perceptron with polynomial neurons (PNs) or fuzzy polynomial neurons (FPNs), develop a comprehensive design methodology involving mechanisms of genetic optimization and carry out a series of numeric experiments. The conventional SONN is based on a self-organizing and an evolution

Watemelon

Watemelon

Textbook of Mechanical Vibrationspseudo global optimal solutions to evolve a set of neural networks, each of which can solve correctly a subset of patterns. The pattern-based algorithm uses the topology of training and validation data patterns to find a set of pseudo-optima, each learning a subset of patterns. It is therefore well

dainty

Strategic Planning in Healthcare,ful that boosting, an algorithm combining several weak learners for supervised learning, has been considered to be one of the best off-the-shelf classifiers. However, some problems still remain, including determining the optimal number of weak learners and the overfitting of data. In an earlier work

一夫一妻制

Data in Healthcare and Quality Improvement,t justifies an application of evolutionary algorithm to the rule extraction. The survey contains a short description of evolutionary based methods, as well. It creates a background to show own experiences from satisfying applications of evolutionary algorithms to this process. Two methods of rule ex

共同时代

https://doi.org/10.1007/978-94-017-4479-9id problem, if there are some imprecisions and uncertainties associated with the data. The present chapter deals with Takagi and Sugeno approach of FLC, in which a better accuracy is generally obtained compared to Mamdani approach but at the cost of interpretability. For most of the real-world proce