CODES2

说明：  用于功率预测的CNN代码，以及一系列相关函数文件(CNN Code for Power Prediction)

说明：  带通滤波器的设计，完成多功能滤波器的比较及主旁瓣分析和扩展效应(filter)

神经网络的结构选4-5-3，学习速率为0.28，惯性系数为0.04，加权系数初始值取-0.5-0.5上的随机数。(4-5-3 neural network structure selection, the learning rate is 0.28, the inertia coefficient is 0.04, the initial value of weighting factor to take-0.5-0.5 the random number.)

设计切比雪夫1型滤波器，对输入信号进行滤波，并观察功率谱密度(Design of Chebyshev Type 1 filter, filtering the input signal and observe the power spectral density)

OFDM系统中的资源调度算法，轮训算法与最大信干比算法(the resource scheduling algorithms of OFDM system)

不同的进化计算方法比较，并用matlab仿真实现(Constrained Evolutionary Optimization by Means of(mu+lambda) Differential Evolution and Improved Adaptive Trade-off Model Evolutionary Computation Journal, in press)

一种基于复合混沌映射的单向Hash函数构造(One-way Hash function construction based on composite chaotic map)

hvdc 12 pulse conveter circuit developed on the example model in laptop

some exercises for Sedumi optimization toolbox

预测函数控制代码通过轧辊压下实现对铝带轧制系统的纠偏(Predictive function control codes for aluminum rolling reduction achieved by correcting the system rolls)