astar

路径跟踪中心轨迹法，是一种求解最优潮流的有效方法，大大简化了原有算法的复杂性(Path Tracking Center locus method is an effective method for solving the optimal power flow, greatly simplifies the complexity of the original algorithm)

详细介绍garch模型及其matlab实现(GARCH model and its detailed introduction matlab realize)

sliding mode control 2

matlab最优化计算，包括多种优化算法。(matlab optimization calculation, including a variety of optimization algorithms)

matlab新增寻找极值点程序，较老的版本中没有次函数(matlab find new extreme point of procedure, not the older version of the second function)

用神经网络进行训练和仿真的接口函数，用matlab编写，适合进行这方面的仿真开发．(using neural network training and simulation interface function, Matlab preparation, suitable for the simulation of this development.)

在二维空间里有两个点A=(X1，Y1)和B=(X2，Y2)，如果X1>X2并且Y1>Y2 ，我们认为A优于B，A是这个集合的最大极值点，在给定的二维空间里的N个点的集合S中，找出最大极值点。(In two-dimensional space, there are two points = A = (X1, Y1) and B (X2, Y2), if the X1 and Y1 > X2 > Y2, we think that A is superior to B, A is the biggest extreme value point of the set, in A given set of N points in the two-dimensional space S, find out the most extreme value point.)

分别在射线理论和简正波理论下利用Bellhop和kraken模型计算声场分布，此程序可以修改所在模型中的场参数(And using respectively Bellhop kraken ray theory model in normal mode and the theoretical distribution of the sound field, this field can modify the parameters in the model where)

输入信号五个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，得到识别出的信号类别，本例为2PSK, 4PSK, GMSK, OQPSK, pi/4DQSK中的一个，还可以看Art网络的扩展性。(input signal instantaneous information on five characteristics : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, the identification of signal type, The cases of two PSK, 4PSK, GMSK, OQPSK, pi/4DQSK of one, Art can be viewed network scalability.)

Through neural networks, ant colony algorithm, genetic algorithm, such as intelligent optimization methods to solve TSP problems