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Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

是关于在MATLAB中动态显示文本的源代码，很有用的(With regard to dynamic display in the MATLAB version of the source code, very useful)

ITS ABOUT SOME BASIC MATLAB OPERATION

CVaR的计算，以及cvar最优化的投资组合权重问题(VAR CVAR OPTIMAL)

LTE下行链路发射分集仿真，仿真配置：16QAM调制、1/3码率Turbo编码、10MHz带宽、每个子帧一个PDCCH符号、单码字、8次迭代Turbo译码，每次处理1000万比特用户数据、早期终止机制、MMSE（最小均方误差）MIMO接收器，PDSCH发射端进行发射分集预编码。信道模型是LTE-MIMO信道附加AWGN信道。收发两端采用的双天线配置，天线相关性为中等。(LTE downlink transmit diversity simulation configuration: 16QAM modulation, 1/3 Turbo coding rate, 10MHz bandwidth of each sub-frame a PDCCH symbol, single code word, 8 iterations Turbo decoding, each processing 10 million bits of user data, early termination mechanisms, the MMSE (minimum mean square error) the MIMO receivers, a PDSCH transmitting terminal transmit diversity precoding. Channel model is LTE-MIMO channel additional AWGN. Dual antenna transceivers at both ends of the configuration, the antenna correlation is moderate.)

基于差分进化算法的pid参数优化，包括性能指标(PID parameter optimization based on differential evolution algorithm, including performance indicators)

关于模拟退火解决旅行商问题的代码，简单易学，非常有用(simulated annealing)

压缩感知目前广泛应用于雷达成像或得超分辨稀疏成像，该文件为压缩感知三维成像。(Compressed sensing has been widely applied in radar imaging or sparse super resolution imaging, the file is compressed perception three-dimensional imaging. )

用于仿真牛顿LMS算法(for LMS algorithm simulation Newton)

Dining philosophers problem in C++