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Neural Network and Fuzzy Logic Applications
in C/C++. Book Disk. Turbo Vision UI, Feed-
forward network files, Genetic algorithms,
Chaotic dynamics, Financial data modeling,
Broom dynamics, Hopfield network, Fuzzy logic
control & Genet
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机器学习领域经典分类算法综述,包括Decision Tree(ID3、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法),三种典型贝叶斯分类器(朴素贝叶斯算法、TAN算法、贝叶斯网络分类器),k-近邻 、 基于数据库技术的分类算法( MIND算法、GAC-RDB算法),基于关联规则(CBA:Classification Based on Association Rule)的分类(Apriori算法),支持向量机分类,基于软计算的分类方法(粗糙集(rough set)、遗传
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BP神经网络模糊控制,达到预测的目的,集训练和预测于一身-Purpose, set BP neural network training and prediction fuzzy control, to achieve the predicted in-one
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自适应模糊神经网络模型,神经网络模块和模糊系统的融合-Adaptive fuzzy fusion neural network model, neural networks and fuzzy systems module
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二关节机械手的模糊小脑模型(CMAC)神经网络控制器MATLAB代码,网上少有。代码是纸质版转化的,苦劳啊。-Fuzzy cmac neural network controller matlab code for 2-link robotic manipulator.
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一个用于机器人控制领域的matlab教程,包括自适应控制,模糊控制,神经网络控制等不同智能算法。-A field for robot control matlab tutorial, including adaptive control, fuzzy control, neural network control, such as different intelligent algorithms.
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自能控制介绍包括模糊控制,神经网络控制,遗传算法,自持向量机,智能控制算法,PID神经网络控制-Self introduction can control including fuzzy control, neural network control, genetic algorithm, self-sustaining vector machine, intelligent control algorithm, PID neural network control
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利用MATLAB软件,搭建一个GUI人工交互界面,分别用模糊控制、专家控制、BP神经网络控制实现PID控制在工程实践应用的性能比较!-Use MATLAB software, human interaction to build a GUI interface, respectively, with fuzzy control, expert control, BP neural network control to achieve PID control application perform
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给予模糊均值聚类问题(FCM)的神经网络算法,对初学者进行神经网络关于聚类分析问题方面学习时一个不错的程序-Neural network algorithm for fuzzy mean clustering problem (FCM)
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任意维输入,自定义输出维数的SOFCMAC(自组织模糊小脑神经网络),实际上是一种将Kohonen网络的思想用于模糊CMAC的方法。参考文献是自组织模糊CMAC神经网络及其非线性系统辨识_王源。-SOFCMAC (self organizing fuzzy cerebellar neural network) with arbitrary dimension input, which is actually a kind of method for fuzzy CMAC with Kohonen
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文件包含遗传算法,神经网络算法仿真,模糊PID算法等仿真,仿真结果电子文档,分析详细,所得结果都有截图。-Files contain genetic algorithms, neural network algorithm simulation, fuzzy PID algorithm simulation results of electronic documents, detailed analysis, the results have screenshots.
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Neural Network Survey
This paper is one of most popular papers in the world.
Neuro-Fuzzy Systems: A Survey
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Neural Network and Fuzzy Logic Applications in C/C++, Book Disk-Neural Network and Fuzzy Logic Applications in C/C++, Book Disk
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遗传算法优化BP神经网络、改进的模糊C-均值聚类、遗传算法(粒子群算法、人工鱼群算法等)的投影寻踪模型等遗传算法的简单集合。-Genetic algorithm to optimize the BP neural network, an improved fuzzy C- average clustering and genetic algorithm,(particle swarm optimization (pso), artificial fish algorithm, etc.) of
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把HHT和神经网络结合起来,识别出是否故障。对于HHT变换,这里用到的是它的IMF分解,然后用能量理论来判别哪些模组是虚假分量,哪些是是真实分量。对于EMD分解后的谱进行特征提取 ,利用的理论基础就是模糊熵。计算出真实 分量的模糊熵,作为输入层;输出层为两个神经元,为0(故障 )1(正常 (正常 )判别该信号是否出现故障。-The combination of HHT and neural network to identify whether the fault. For the HHT tr
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Matlab模式识别例程,包括神经网络算法和BP算法,C均值算法与模糊C均值算法和SVM分类算法。-Matlab pattern recognition routines, including neural network algorithm and BP algorithm, C-means algorithm and Fuzzy C-means algorithm and SVM classification algorithm.
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In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing M
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针对传统的PID控制器参数固 定而导致在控制中效果差的问题,提出一种基于模糊RBF神经网络智能PID控制器的设计方法。该方法结合了模糊控制的推理能力强与神经网络学习能力强的特 点,将模糊控制与RBF神经网络相结合以在线调整PID控制器参数,整定出一组适合于控制对象的kp,ki,kd参数。将算法运用到电机控制系统的PID 参数寻优中,仿真结果表明基于此算法设计的PID控制器改善了电机控制系统的动态性能和稳定性。-Traditional PID controller parameters fixed
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利用优化的模糊聚类方法进行神经网络训练样本的优选-Optimal selection neural network training samples using optimized fuzzy clustering method
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Vector Controlled Permanent Magnet Synchronous Motor Drive
Based on Neural Network and Multi Fuzzy Controllers
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