模糊逻辑的新趋势

Andrea Bonarini, D. Mancini, F. Masulli, A. Petrosino
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引用次数: 6

摘要

建模中与模糊逻辑方法相关的结构,M. Fedrizzi等人通过神经模糊方法进行函数逼近,M. Marinaro等人模糊自适应推理和医疗决策支持系统-透析过程的模块化方法,S. give等人在工业工厂的多模型诊断中的不确定性和逼近,a . Bondarini等人用模糊集技术进行工业工厂的环境影响分析,R. De Vita等人设计用于HEP应用的高速(>50 MFIPS)数字VLSI CMOS模糊处理器,M. Masetti等人应用无监督模糊Kohonen聚类网络进行遥感数据分割,P. Blonda等人使用模糊逻辑进行颜色分类和图像增强,R. Attias等人使用神经模糊理论方法进行聚类分析-在计算机视觉中的应用,a . Petrosino等人用于控制和识别的软计算,R. Caponetto等人的论文。(部分内容)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NEW TRENDS IN FUZZY LOGIC
Structures related to fuzzy logic approach in modelling, M. Fedrizzi et al function approximation by neuro-fuzzy methods, M. Marinaro et al fuzzy adaptive inference and medical decision support systems - a modular approach for dialysis procedure, S. Giove et al uncertainty and approximation in multi-model diagnosis of industrial plants, A. Bondarini et al environmental impact analysis with fuzzy sets techniques for industrial plants, R. De Vita et al high speed (>50 MFIPS) digital VLSI CMOS fuzzy processors designed for HEP applications, M. Masetti et al application of the unsupervised fuzzy Kohonen clustering network for remote sensed data segmentation, P. Blonda et al colour classification and image enhancement using fuzzy logic, R. Attias et al a neuro-fuzzy theoretic approach to cluster analysis - application in computer vision, A. Petrosino soft computing for control and identification, R. Caponetto et al and other papers. (Part contents).
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