2010-02-15_Balanced_PSO

本书详细介绍了用Maple和MATLAB解决科学计算问题，有很多的实例供大家学习 。(The book details the use of Maple and MATLAB to solve the issue of scientific computing, there are many examples of learning for everyone.)

基于粒子群优化算法和BP神经网络的混合算法，用于求解复杂问题！(The hybrid algorithm of particle swarm optimization algorithm based on BP neural network and, for complex problem solving! )

大学物理实验 基于matlab的光学实验仿真(College physics experiment based on the optical experiment simulation matlab)

QPSK的调制；比较DQPSK和QPSK在通过加性高斯白噪声信道时的误码性能；OFDM系统(QPSK modulation more DQPSK and QPSK in additive white Gaussian noise through the channel bit error performance when OFDM system)

用matlab实现多径瑞利信道，详细参数程序内有注释说明(Using matlab to achieve multi-path Rayleigh channel, detailed explanatory notes within the parameters of procedures)

图像功率谱密度的快速计算方法，可选择滤波器及运算长度(Image power spectral density of the rapid calculation method to choose the length of filter and computing)

人的面部识别程序，检测正确率很高，经过对多账户照片的识别，正确率为百分之一百(Facial recognition program, the detection accuracy is high)

This is a demo program of color filter array (CFA) image color reproduction.

Implements PSO for function optimization for different standard mathematical functions.

说明：  构建三层次的BP神经网络，通过多项指标预测含水层涌水能力，(Prediction of aquifer water inflow capacity based on BP neural network)