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dc.contributor.authorLiu, Puyinen_US
dc.contributor.authorLi, Hongxingen_US
dc.date.accessioned2019-04-09T03:08:26Z
dc.date.available2019-04-09T03:08:26Z
dc.date.issued2004en_US
dc.identifier.isbn9812387862en_US
dc.identifier.isbn9789812387868en_US
dc.identifier.otherHPU1161254en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/32531
dc.description.abstractThis book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering.en_US
dc.format.extent395 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherWorld Scientificen_US
dc.subjectArtificial intelligenceen_US
dc.subjectTechnologyen_US
dc.subjectComputersen_US
dc.subjectNetworkingen_US
dc.titleFuzzy neural network theory and applicationen_US
dc.typeBooken_US
dc.size20,688 KBen_US
dc.departmentTechnologyen_US


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