Lcorner

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.

人工智能各种方法的实现，具体实例的说明(Realize a variety of methods of artificial intelligence, specific examples of the note)

This file contains code for using Semianalytic methods with BPSK modulation

Interest point detection is a recent terminology in computer vision that refers to the detection of interest points for subsequent processing.

matlab实现敏感问题的调查设计，包含敏感问题的基本算法设计流程编码例程(matlab sensitive issues in survey design, containing the sensitive issue of the basic algorithm design process encoding routines)

用拖布列兹MUSIC估计来波方向，及对数据协方差矩阵斜对角线上的元素进行平均再DOA估计(Using drag Boulez the MUSIC estimated to wave direction, and the average re-DOA estimated data covariance matrix oblique diagonal elements)

从国外找到的matlab信息论工具箱，比较实用，可以求随机变量的互信息和熵。(Matlab information toolbox, including m files for computing multual information and entropy.)

Fixed 7/17/93 to use inverse-hessian instead of hessian itself in bfgs

合成孔径雷达回波信号的建模，条理清晰，思路明确，赶紧下载吧。(Synthetic aperture radar echo signal is modeling, their clarity, ideas clearly, to download it. )

使用了核技巧的费舍尔判别法应用程序，有效提高费舍尔效果。(Use of nuclear techniques application Fisher Criterion, effectively improve the Fisher effect.)