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基于VCN模糊数值算法的FPGA技术 被引量:1

FPGA Technology on Fuzzy Numbers Algorithm of VCN
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摘要 领域或现场的可编程门阵列是一种新型可编程逻辑器件,它具有大容量、小时延、易改进和灵活性等特点,基于神经模糊系统原理,本文提出了一种基于VCN模糊数值算法的FPGA技术方案。该算法采用了一种VCR运算路径可重复使用技术、中间结果可变形处理及存放于RAM中实现的方法。经深入研究和试验分析,该算法是切实可行的。 Field Programmable Gate Array(FPGA) is a new material Programmable Logic Units ,it owns some properties such as that,large memory of capacities,short delays of time,improvement able and flexibilities etc. On the basis theory of neural fuzzy system of networks, this paper gives a FPGA method of fuzzy numbers algorithm of VCN. The algorithm takes a reusing technique of VCR path, a process of middle-data to be shaped and placed in RAM. In the deep research ; analysis of testing, this algorithm is practicable.
作者 叶球孙
出处 《武夷学院学报》 2008年第5期35-38,共4页 Journal of Wuyi University
基金 福建省自然科学基金计划项目(A0640015) 福建省高校自然科学基金计划资助项目(JA08246)
关键词 现场可编程门阵列 变进数 神经网络系统 人工智能 数值算法 Field Programmable Gate Array (FPGA) Variable Carrying Numbers (VCN) Neural Networks System (NNS) Artificial Intelligence(AI) Numbers Algorithm(NA)
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