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Soft computing: the convergence of emerging reasoning technologies
被引：139
作者：
Piero P. Bonissone
机构：
[1] General Electric Corporate Research and Development 1 Research Circle,
[2] K1 5C32A Schenectady,undefined
[3] NY 12309,undefined
[4] USA e-mail: bonissone@crd.ge.com,undefined
关键词：
Keywords Soft computing;
hybrid systems;
fuzzy systems;
neural networks;
evolutionary systems;
D O I：
10.1007/s005000050002
中图分类号：
学科分类号：
摘要：
The term Soft Computing (SC) represents the combination of emerging problem-solving technologies such as Fuzzy Logic (FL), Probabilistic Reasoning (PR), Neural Networks (NNs), and Genetic Algorithms (GAs). Each of these technologies provide us with complementary reasoning and searching methods to solve complex, real-world problems. After a brief description of each of these technologies, we will analyze some of their most useful combinations, such as the use of FL to control GAs and NNs parameters; the application of GAs to evolve NNs (topologies or weights) or to tune FL controllers; and the implementation of FL controllers as NNs tuned by backpropagation-type algorithms.
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页码：6 / 18
页数：12
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