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Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work pre
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一种基于模糊神经网络的控制策略，融合了模糊控制和神经网络的优点，根据变量的动态调整实施控制器的动态参数调整-Based on fuzzy neural network control strategy, the convergence of fuzzy control and neural network advantages, in accordance with the dynamic adjustment of the implementation of variable controll
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模糊神经网络逼近与分类，模糊规则提取，快速增长与删减网络。-Fuzzy neural network approximation and classification, fuzzy rule extraction, with the deletion of the rapid growth of the network.
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模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
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利用T2FNN進行MEC建模,針對IC散射現象進行量測與模擬比較-Type 2 fuzzy neural network for EMC
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基于Matlab环境编写的一些神经网络PID控制和模糊PID控制源代码，其中包含BP pid，CMAC PID,RBF PID，BP数值逼近算法，BP预测控制以及模糊PID。-Matlab-based environment for the preparation of a number of neural network PID control and fuzzy PID control of the source code, which includes BP pid, CMAC PID,
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Research on Video Caption Detection and Extraction. The automatic video annotation is a key module of the video indexing and retrieval system,and the extraction and location of captions are important steps for video annotation.An automatic extraction
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（压缩包里一共有5个代码）
pca+lda+粗糙集+模糊神经网络
saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat
1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat
2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
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source code of simlate function of fuzzy bp neural network
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source code of train function of fuzzy bp neural network
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利用模糊神经网络的方法实现遥感图像的目标识别-The use of fuzzy neural network approach to achieve the goal of remote sensing images to identify
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Literature Review on Linguistic Fuzzy Neural Models. It can be very useful for Fuzzy Nural network based application.
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基于模糊神经网络的自适应预失真功放。DPD功放模型的研究。-Based on fuzzy neural network adaptive predistortion power amplifier. DPD amplifier modeling.
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：为提高移动机器人在未知环境下避障行为的成功率，通过对障碍物信息的输人，从控制输出数据中找出避
障行为模式，生成相应的模糊逻辑控制规则，并把模糊控制算法引入到神经网络中，使得模糊控制器规则的在线精
度和神经网络的学习速度均有较大的提高，使移动机器人具有较为迅速的反应能力，实现机器人连续、快速地避障
并最终到达目标．系统仿真证明了模糊神经网络在移动机器人路径选择中的智能性．-To enable the mobile robot in unknown environment obstac
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电子书包含了MATLAB在神经网络控制、模糊逻辑控制、预测控制方面的应用介绍，每一部分都包括基本控制理论的介绍和MATLAB对应工具箱的介绍和实现方式。 智能控制及其MATLAB实现-E-book contains the MATLAB neural network control, fuzzy logic control, predictive control applications introduction, each part including the introduction of
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popfnn神经网络，它是一种模糊伪输出的神经网络(pseudo-outer-production fuzzy nerual network).可用于模式识别。运行pop1可以训练输入的特征向量，extractionpop使用来抽取图片的特征向量的。-popfnn neural network, it is a pseudo-output fuzzy neural network (pseudo-outer-production fuzzy nerual network). can be use
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matlab 源码 模糊函数，模糊神经网络 编写，训练-matlab source fuzzy function, fuzzy neural network preparation, training
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A PI Type Fuzzy-neural Network Controller for Induction Motor Drives
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T-S模糊神经网络的matalb程序,可以用做端点检测-TS fuzzy neural network matalb procedure can be used for endpoint detection-TS fuzzy neural network matalb procedure can be used as endpoint detection-TS fuzzy neural network matalb procedure can be used for endpoint detec
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在MATLAB编程环境下进行模糊神经网络的方针程序，对参考输入进行前件选择，确定合适的模糊语言值核隶属度，然后进行合理的模糊推理确定后件参数。-In the MATLAB programming environment for fuzzy neural network approach procedure prior to the reference input to selection, to determine the appropriate value of core membership
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