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一种不定控制系统的强健神经网络控制器
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作者 王植鑫 《哈尔滨师范大学自然科学学报》 CAS 2004年第2期50-52,共3页
探讨不定控制系统的强健神经网络控制器 .这是一个由遗传运算法则确定的最佳隐藏神经数的前馈多层神经网络 .它借助状态空间控制器和编入必要的最佳程序 ,进行非线性处理 ,以确保性能的强健性 .混合的遗传运算法则和后繁殖神经培养 ,具... 探讨不定控制系统的强健神经网络控制器 .这是一个由遗传运算法则确定的最佳隐藏神经数的前馈多层神经网络 .它借助状态空间控制器和编入必要的最佳程序 ,进行非线性处理 ,以确保性能的强健性 .混合的遗传运算法则和后繁殖神经培养 ,具有最佳网络结构和神经染色体接合权的双重目标 ,把最佳网络结构和神经权协调地聚合 。 展开更多
关键词 不定控制系统 强健神经网络控制器 遗传运算法则 开环转移函数 神经权
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模糊规则分类技巧探讨
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作者 王植鑫 《山西师范大学学报(自然科学版)》 2005年第3期57-60,共4页
对产生模糊规则分类的几种技巧进行综合.其中有中性网络、模糊聚类、遗传运算法则等技巧,而对它们进行综合,就可应用于诸如Iris数据库之类许多有关分类的问题.
关键词 分类法 模糊聚合 遗传运算法则
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Abstract of Ph.D Dissertation
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作者 FAN Hong 《Geo-Spatial Information Science》 2002年第4期68-70,共3页
With the rapid development of global information highway,multimedia communication technology plays a more and more important role in national economic and social development.However,the multimedia communication system... With the rapid development of global information highway,multimedia communication technology plays a more and more important role in national economic and social development.However,the multimedia communication system is a complicated real time distributed system and its software is difficult to develop.In order to improve the rapid development and application of the multimedia communication technology,there is an urgent need to carry out the basic research work of software development platform in this field. 展开更多
关键词 绘图方法 地理信息系统 遗传运算法则 组合优化问题 整体最优化解
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Road network extraction in classified SAR images using genetic algorithm
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作者 肖志强 鲍光淑 蒋晓确 《Journal of Central South University of Technology》 2004年第2期180-184,共5页
Due to the complicated background of objectives and speckle noise, it is almost impossible to extract roads directly from original synthetic aperture radar(SAR) images. A method is proposed for extraction of road netw... Due to the complicated background of objectives and speckle noise, it is almost impossible to extract roads directly from original synthetic aperture radar(SAR) images. A method is proposed for extraction of road network from high-resolution SAR image. Firstly, fuzzy C means is used to classify the filtered SAR image unsupervisedly, and the road pixels are isolated from the image to simplify the extraction of road network. Secondly, according to the features of roads and the membership of pixels to roads, a road model is constructed, which can reduce the extraction of road network to searching globally optimization continuous curves which pass some seed points. Finally, regarding the curves as individuals and coding a chromosome using integer code of variance relative to coordinates, the genetic operations are used to search global optimization roads. The experimental results show that the algorithm can effectively extract road network from high-resolution SAR images. 展开更多
关键词 遗传运算法则 路网萃取 安全分析报告 孔径雷达 图象处理
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