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好东西大家分享，希望可以给大家帮助，谢谢！(Good things to share, hope can give you help, thank you!)

blast检测方案，比价了ZF,MMSE,ZF-SIC,MMSE-SIC四种检测算法的性能(blast testing program, the price ZF, MMSE, ZF-SIC, MMSE-SIC detection algorithm in the performance of four)

说明：  用MATLAB编制的一些简单的智能优化算法(Using MATLAB prepared some simple intelligent optimization algorithm)

在matlab环境下旅行商问题的遗传算法(In the traveling salesman problem matlab environment genetic algorithm)

用于MATLAB产生短时傅里叶变换的函数(USED TO GENERATE THE STFT NUM)

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

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基于神经计算的增量式PID控制器学习算法。被控对象为非线性控制系统。(keyword：PID controller 、 neural network、MATLAB )

PARAFAC Based Blind Estimation

BSS algorithms by Pham