Trafficflowforecasting

说明：  将粒子群算法与免疫结合，计算函数的优化极值。(The particle swarm optimization combined with the immune calculated extremal function optimization.)

快速ICA算法程序及ICA算法在MATLAB中的应用(failed to translate)

变尺度随机共振代码，几年前用过的，喜欢的可以试试。(Stochastic resonance code, you can try a few years ago used.)

This is application example for using Gauss-Seidel method in power system.

Is not a sourcecode or document. IT IS A DIRECT SHEAR TEST BOOK FOR STUDNETS TO CONDUCT LAB WORKS

水文时间序列 每旬的极端事件计算，该指标用于混沌计算前期处理(Hydrologic time series of extreme events is calculated every ten days, the index is used to calculate the pre-treatment of Chaos)

异步电机的启动，本人亲自编写，并且经过自己的验证，绝对可信(Start asynchronous motors, I personally prepared, and after their verification, absolutely credible)

极化敏感阵列的误差估计矫正函数 可以实现在误差较大的情况下仍然可以准确参数估计(Polarization sensitive array error correction function can be achieved is estimated in the case of error is larger still be accurate parameter estimation)

The system is fully preemptible when this function is called. The kernel does no processing, but it passes all parameters directly to the function supplied by you. （当这个函数被调用的时候系统完全可能被抢占，内核没有处理，直接传递参数到你提供的函数。这个我觉得说的很别扭，估计是直接传递参数到OEMIoControl ）(The system is fully preemptible when this function is called The the kernel does no processing, but it passes are all the parameters directly to the function are supplied by you (When this function is called when the system is entirely possible to seize the kernel did not deal directly pass parameters to the function you provide. I think that is very awkward, and is estimated to pass parameters directly to OEMIoControl))

The codes included here require Matlab platform 7.0.0 or higher. The source codes have been written by the students who have undergone this subject. The codes are problem specific and not general. The principle aim was to develop softwares for illustration of computational methods and are generally far from optimal. Knowledge of any computer language is sufficient to change the parameters in the codes. A person well versed in Matlab should be able to modify these codes or write their own. It is a common knowledge that understanding the codes written by others is not a pleasant experience. Therefore, useful comments have been added in the codes to help users.(The codes included here require Matlab platform 7.0.0 or higher. The source codes have been written by the students who have undergone this subject. The codes are problem specific and not general. The principle aim was to develop softwares for illustration of computational methods and are generally far from optimal. Knowledge of any computer language is sufficient to change the parameters in the codes. A person well versed in Matlab should be able to modify these codes or write their own. It is a common knowledge that understanding the codes written by others is not a pleasant experience. Therefore, useful comments have been added in the codes to help users.)