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ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], which are motivated by observation on the local response in biologic neurons. Due to their better approximation capabilities, simpler network structures and faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.

33节点的配电网潮流计算程序，程序自带33节点数据(33 nodes in the power flow calculation program, the program comes with 33 node data)

这篇文章也一直在看，写的不错，有学习的价值，希望对学习空间重构的朋友有所帮助！谢谢！(This article has been read, write, well, the value of learning, hope to learn space reconstruction friends help! Thank you!)

说明：  应用matlab实现对统计分析中的主成分分析方法，高效实现对输入变量的降低维数，同时(Application matlab realize the principal component analysis statistical analysis, efficient implementation of reduced dimensionality of the input variables, while)

高阶WENO格式计算偏微分方程，内含注释，方便理解。(Higher-order partial differential equations to calculate WENO format, containing comments.)

用于工业过程当中对数据进行预测，其模型简单易懂(Used in industry in the process of data to carry on the forecast, the model simple to understand)

IP1101 circuit application

是属于清华大学出的书 数字信号处理及电子课件光盘内容(MATLAB very important MATLAB very important)

PROGRAM TO SHOW THAT H1

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)