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基于matlab的倒车模糊控制器设计，避免 死区 问题(Matlab fuzzy controller based on the reverse design, to avoid the ‘dead zone’ problem)

matlab程序 主成分变换代码 以及测试数据(Principal component transformation matlab program code, and test data)

用广义最小二乘法辨识气动实验系统的参数，并采用最终误差预报估计模型阶次(Generalized Least Squares Identification of aerodynamic parameters of experimental system, using the final prediction error of the estimated model order)

说明：  由于阵列处理中常常需要对接收信号进行分析，MUSIC算法是其中最为经典的(As the array processing is often necessary to analyze the received signal, MUSIC algorithm is one of the most classic)

power_surgnetwork.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_surgnetwork.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

根据灰色理论优化神经网络来预测交通事故的算法(Gray theory to predict based on neural network optimization algorithm accident)

编程,逆向及数据分析 编程逆向及数据分析. :数据分析的几个方面的经验总结.(Programming, reverse and data analysis 编程逆向及数据分析. Programming of reverse engineering and data analysis :数据分析的几个方面的经验总结. : data analysis of several aspects of the experience )

The first scheme is based on the spatial locality of feature vectors corresponding to similar images. Learning is effected by modifying the query vector to incorporate the positive examples. The second scheme is based on “distorting” our view of the feature space. An new similarity distance between an image and the query is learned from the relevance feedback.

说明：  popfnn神经网络，它是一种模糊伪输出的神经网络(pseudo-outer-production fuzzy nerual network).可用于模式识别。运行pop1可以训练输入的特征向量，extractionpop使用来抽取图片的特征向量的。(popfnn neural network, it is a pseudo-output fuzzy neural network (pseudo-outer-production fuzzy nerual network). can be used for pattern recognition. Can be trained to run pop1 input feature vector, extractionpop used to extract the image feature vector.)

说明：  设计一个有干扰的直接序列扩频通信系统， PN码由m序列产生器产生，经过高斯白噪声信道。在接收端接收到的信号包括“有用信号+高斯白噪声+干扰”，将接收信号进行解扩，判决，得到用户的信号检测结果，绘制不同的扩频增益（增益值为10，30，50）下，误比特率随信噪比Eb/N0的变化曲线。(Design of a direct sequence spread spectrum interference system, PN code generated by the m sequence generator, after white Gaussian noise channel. Receives the signal at the receiver, including &quot useful signal+ Gaussian white noise+ interference&quot , will receive the signal despreading, judgments, get the user' s signal test results, draw a different spreading gain (gain value of 10,30, 50), the BER curves with the signal to noise ratio Eb/N0.)