Fast_Infogram

Simulated annealing (SA) is a generic probabilistic metaheuristic for the global optimization problem of applied mathematics, namely locating a good approximation to the global optimum of a given function in a large search space. It is often used when the search space is discrete (e.g., all tours that visit a given set of cities). For certain problems, simulated annealing may be more effective than exhaustive enumeration — provided that the goal is merely to find an acceptably good solution in a fixed amount of time, rather than the best possible solution.

说明：  介绍了汽包锅炉燃烧控制系统的控制任务、量间关系、原则性控制方案、传统控制方法,以及解耦控制方法的发展 ,引入了 PID型神经网络控制系统的结构、学习算法、初始权值参数选取. MATLAB仿真结果表明 ,该控制系统对多变量强耦合时变的锅炉燃烧控制对象具有良好的解耦性能和自学习控制特性.(The control tasks, the relations between physical variables, the fundamental controlschemes, the conventional controlmethodsof the control system for steam drum boiler combustion)

区域重力资料解释中的重要任务之一,是计算基底构造及莫霍面的构造(本文统称为基线构造)(Regional gravity data interpretation of the important tasks is to calculate the basement structure and Moho structure (herein collectively referred to as the baseline configuration))

LBP提取例程，很好阅读，方便使用,效果很好，可以直接看出效果(LBP extraction routines, well read, easy to use)

report having matlab code

upsampling and downsampling

this is a good file for GME study

利用鱼群算法优化BP神经网络权值，该代码可以直接运行。(Fish swarm algorithm is used to optimize the weight of BP neural network, and the code can run directly.)

卡尔曼滤波在一维温度数据测量系统中的使用(Kalman filtering)

to find peak in histogram