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可以动态调节运行环境的参数，线性调频脉冲压缩的Matlab程序,DC-DC部分采用定功率单环控制，包括AHP，因子分析，回归分析，聚类分析，关于神经网络控制，使用大量的有限元法求解偏微分方程，在MATLAB中求图像纹理特征，加入重复控制。
- Can dynamically adjust the parameters of the operating environment, LFM pulse compression of the Matlab program, DC-DC power s
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关于神经网络控制，对球谐函数图形进行仿真,包括AHP，因子分析，回归分析，聚类分析。- On neural network control, Of spherical harmonics graphic simulation, Including AHP, factor analysis, regression analysis, cluster analysis.
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支持向量机非线性回归通用matlab程序 支持向量机和BP神经网络非线性回归之比较研究,-Support vector machine (SVM) general matlab nonlinear regression support vector machine (SVM) and BP neural network nonlinear regression of the comparative study,
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用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果-Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved
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进行逐步线性回归，BP神经网络的整个训练过程,独立成分分析算法降低原始数据噪声。- Stepwise linear regression, The entire training process BP neural network, Independent component analysis algorithm reduces the raw data noise.
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用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果-Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved
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BP neural network is used for classification and regression-The BP neural network is 2 for classification and regression
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The RBF neural network is used for classification and regression-The RBF neural network is, informs The for classification and regression
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模糊神经网络就是模糊理论同神经网络相结合的产物，它汇集了神经网络与模糊理论的优点，集学习、联想、识别、信息处理于一体。模糊神经网络可用于模糊回归、模糊控制器、模糊专家系统、模糊谱系分析、模糊矩阵方程、通用逼近器。(Fuzzy neural network is the product of the combination of fuzzy theory and neural network. It combines the advantages of neural network and fuz
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RBF型神经网络在分类与回归中的应用，有详尽的说明和指导(RBF neural network is used for classification and regression)
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BP neural network function fitting and pattern recognition, Convolution operation is intended to signal and image rendering, Including regression analysis and probability and statistics.
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GRNN的数据预测-基于广义回归神经网络货运量预测(Prediction of GRNN data based on generalized regression neural network for freight volume prediction)
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SVM神经网络的信息粒化时序回归预测,人工智能算法(Time series regression prediction of information granulation based on SVM neural network)
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The commonly used digital signal modulation based on artificial neural network, Least-squares regression analysis algorithm, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image s
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BP neural network is used for classification and regression(The BP neural network is 2 for classification and regression)
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On neural network control, Verification is available, Stepwise linear regression.
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The RBF neural network is used for classification and regression(The RBF neural network is, informs The for classification and regression)
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本文主要实现手写数字识别，利用多类逻辑回归与神经网络两种方法实现,并编写有GUI界面。(This paper mainly implements handwritten numeral recognition, using multiple logic regression and neural network to achieve two methods, and the preparation of a GUI interface.)
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支持向量机非线性回归通用matlab程序 支持向量机和BP神经网络非线性回归之比较研究,(Support vector machine (SVM) general matlab nonlinear regression support vector machine (SVM) and BP neural network nonlinear regression of the comparative study,)
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用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果(Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved)
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