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Title: DSP-based fuzzy neural networks and its application in speech recognition
Authors: 國立臺灣師範大學電機工程學系
S.-C. Chen
C.-C. Hsu
W.-Y. Wang
Issue Date: 15-Oct-1999
Abstract: A fuzzy-neural network needs to be trained through a learning process, so that suitable membership functions and weightings can be obtained. However, most neural networks are only simulated by computer software, which are not practical for real applications. It is therefore our objective to design an integrated circuit system based on a DSP processor with powerful arithmetical capabilities and fast data processing, and relevant peripheral devices to implement the fuzzy neural network. In terms of implementation cost and feasibility for practical applications, this DSP-based fuzzy neural network will be more practical and usable. Finally, a prospective application of the DSP processor-based fuzzy neural network to recognize speech from a non-designated person is proposed
Other Identifiers: ntnulib_tp_E0604_02_089
Appears in Collections:教師著作

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