搜索资源列表
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MATLAB程序编写的神经网络ELMAN算法,实现故障模式识别-MATLAB programming Elman neural network algorithm, the fault pattern recognition
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共有30个MATLAB神经网络的案例(含可运行程序),包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络;还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。-Neural network cases
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elman神经网络的源代码,包括训练和仿真-elman neural network source code, including the training and simulation
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线性神经网络,BP神经网络,Hopfield神经网格,Elman神经网络,RBF神经网络;在模型应用模块中实现了六种实际应用:RBF网络的船用柴油机故障诊断,BP网络的齿轮箱故障诊断,SOM网络的回热系统故障诊断,BP网络的设备状态分类器,SOM网络的人口比例样本分类,SOM网络的土壤性状样本分类。-Linear neural network, BP neural network, Hopfield neural network, Elman neural network, RBF neural
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将pca和elman神经网络结合起来,找到了主要的变量-The PCA and the Elman neural network to combine to find the main variables
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Program for training and testing the Elman Recurrent Neural Network model when used to predict
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可用于bp,elman,rbf,grnn四种神经网络的预测命令-Can be used for bp, elman, rbf, grnn four types of neural network prediction order
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elman神经网络用于峰值检测 三角波 矩形波 方波调制信号 -elman peak detector neural network for rectangular-wave square wave triangle wave modulation signal
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a transmission line fault location model which is based on an Elman recurrent network
(ERN) has been presented for balanced and unbalanced short circuit faults. All fault situations with
different inception times are implemented on a 380-kV proto
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this a Matlab code for classification of Hand writed data by Neural network (Elman Network)-this is a Matlab code for classification of Hand writed data by Neural network (Elman Network)
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rbf神经网络源代码,基于MATLAB编程-rbf neural network, based on MATLAB programming
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Elman神经网络在电力负荷预测模型研究中的应用-Elman neural network for electric load forecasting model for the Study of
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Matlab基于Elman神经网络的电力负荷预测模型研究-Matlab-based Elman neural network model for load forecasting
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用matlab实现Elman神经网络-Elman neural network using matlab
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Matlab神经网络工具箱函数涉及的网络模型有,感知机网络、线性神经网络、BP神经网络、径向基神经网络、自组织神经网络、学习向量量化神经网络、Elman神经网络、Hopfield神经网络、自适应滤波和控制系统网络等。-Matlab neural network toolbox function involving network model have a perceptron and linear neural network, BP neural network, RBF neural net
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运用Matlab开发环境编写的基于Elman神经网络的简单电力负荷预测程序(A simple power load forecasting program based on Elman neural network based on Matlab development environment)
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Matlab中关于PSO优化BP神经网络的实例,以及具体的代码(An example of PSO optimization of the BP neural network in Matlab and the specific code)
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Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有,数据归一化处理、输入输出样本的选取、隐含层节点数的确定;分别建立Elman神经网络模型,并利用某栋建筑物实际历史电力负载数据进行预测,分析比较与实际数据值的预测精度,得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data norm
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天牛须算法优化elman神经网络代码,有需要的可自行进行下载,(The algorithm optimizes Elman neural network code, which can be downloaded if necessary.)
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采用matlab语言实现了遗传算法对elman神经网络的优化,固定了权阈值参数,大家可以试试(The optimization of Elman neural network by genetic algorithm is realized with MATLAB language, and the weight threshold parameters are fixed. You can try it)
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