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唐启义教授的DPS7.0版，是国内第一个数据挖掘或数据分析应用软件，内有统计分析、层次分析法、模糊综合评价、神经网络等多个领域，内有一个解密文件。,Professor Tang Qiyi the DPS7.0 version is the first data mining or data analysis applications, there is statistical analysis, analytic hierarchy process, fuzzy comprehensive ev
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递归T-S模糊神经网络学习算法，用遗传算法优化参数-Recursive TS fuzzy neural network learning algorithm, using genetic algorithm parameters
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neural network source, a relatively new algorithm, better classification results! -neural network source, a relatively new algorithm, better classification results!
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模糊神经网络解耦MATLAB程序，已经在机器上实验过可以运行-Fuzzy Neural Network Decoupling MATLAB program has been on the machine can run the experiment
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一种改进的BP算法在模糊神经网络中的应用，性能得到很好的改善。-An Improved BP Algorithm in the fuzzy neural network applications, performance is very good improvement.
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模糊滑模神经网络RBF在倒立摆系统的应用-Fuzzy sliding-mode neural network RBF at the inverted pendulum system
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John Wiley & Sons,.Fuzzy Engineering Expert Systems with Neural Network Applications.[2002.ISBN0471293318]
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This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method.
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This program is prepared as an one-step EEG predictor. this is used a fuzzy neural network which is trained by a chaotic back propagation method
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为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上,
设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混
合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比,
表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。-In order to
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基于模糊神经网络技术的智能诊断专家系统的研究
附录 代码部分-Technology based on fuzzy neural network intelligent diagnosis expert system part of the code in Appendix
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利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。-The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network trainin
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基于模糊神经网络的变压器励磁涌流鉴别的研究，对研究变压器故障提出了新办法-Based on fuzzy neural network identification of magnetizing inrush current research, the study proposed a new approach to transformer fault
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用matlabr2009编程实现神经网络模糊聚类算法，采用cell工具把整个程序分为以下几个部分-Programming neural network with matlabr2009 fuzzy clustering algorithm, using cell tools to the entire program is divided into the following sections
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基于模糊神经网络的多传感器信息融合，提出了一种简单、有效的分区算法来确定障碍物的距离和方位。采用BP神经网络对障碍物环境进行分类以及模式识别，为移动机器人的导航和避障提供了一种有效的方法。-Fuzzy neural network based multi-sensor information fusion, we propose a simple and effective algorithm to determine the partition barrier distance and dir
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关于模糊神经网络的书，全英文，其中不仅有讲解，而且有代码实现，讲得还是蛮清楚的。-Books on fuzzy neural network, in English, which not only explain, but there is code, very clearly.
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模糊神经网络的真实案例，帮助理解模糊神经网络的建立。-Fuzzy neural network real-world examples to help understand the fuzzy neural networks.
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模糊神经网络解耦算法（遗传算法优化）FNN对非线性多变量系统的解耦方法-Fuzzy neural network decoupling algorithm (GA optimization)FNN for nonlinear multivariable system decoupling method
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模糊神经网络的matlab描述-Fuzzy neural network matlab Descr iption
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人工神经网络、模糊系统进化计算很经典的书籍-Fuzzy system evolutionary artificial neural network, calculation of classic books
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