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Fuzzy Wavelet Neural Network Based on FPGA

Author: ZhengFei
Tutor: NiJun
School: Harbin Engineering University
Course: Computer System Architecture
Keywords: Fuzzy Wavelet Neural Network Floating - point library FpLibrary Fuzzy membership function FPGA
CLC: TP183
Type: Master's thesis
Year: 2009
Downloads: 153
Quote: 0
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Abstract


Actual embedded applications , not only general-purpose processor implemented in software neural network - based approach in a lower degree of parallelism and can not meet the stability of the system , the chip power and size limitations . VLSI implementation less flexible neural network , the DSP is not suitable for the parallel design of the neural network , while professional Neurochip costs are too high for this this article presents a FPGA-based fuzzy wavelet neural network design method . Fuzzy wavelet neural network compared with BP network has stronger learning ability and higher accuracy , is a hotspot of neural network research in recent years , this article by the existing three FPGA-based neural network model to analyze fuzzy wavelet neural network algorithm structure , using the method of parallel implementation of the algorithm , design FPGA-based fuzzy wavelet neural network hardware implementation . FPGA mathematical components , in the paper by floating point library FpLibrary design fuzzy wavelet neural network to solve the fuzzy wavelet neural network in floating-point operations ; propose two fuzzy membership functions implemented on FPGA technology . Finally , the reference to a fuzzy wavelet neural network algorithm model established a fuzzy wavelet neural network based on FPGA , the FPGA reflects the advantage of the parallelism of neural network algorithm and fuzzy wavelet neural network predictive accuracy and the actual data for this the structure of the validation and evaluation .

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory > Artificial Neural Networks and Computing
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