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说明：  本文将中期多样性作为影响个体威力行为的关键因素和描述种群的重要指标，提出了一种基于多样性反馈的粒子群算法( PSO Particle Swarm Optimization)

edp文件里用到的封装函数，enfram函数。要想使用edp，需要下载此函数。(edp file used the package function, enfram, function. To use the edp will need to download this function.)

本例很好的解释了FFT变换的功能，例程简单易懂，能够很好的用于理解FFT，观察信号频谱。(In this case a good explanation of the function of FFT transform routines easy to understand, can be very good for understanding the FFT, observe the signal spectrum.)

matalab2010经典超强教程，很好的说明了matalab的用法(Matalab2010 classic super tutorials, very good that the matalab usage)

基于系统目标轨迹的EKF仿真,其中包含数据分析函数、EFK函数、距离判断功能块函数、状态仿真功能块函数、以及基于EKF的系统目标轨迹仿真的simulink。(Including data analysis function, EKF function,distance judgement function, state simulation function , and system based on EKF target trajectory simulation of the simulink)

这是我们现代通信原理课程设计时所写的一个关于模拟信号的调频（FM）、双边带调幅（DSB）程序，里面还有详细的报告。(This is our modern communication principles course design of a written about analog signals (FM), the frequency modulation (DSB) with bilateral program, with detailed report.)

排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。 遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。(Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem. Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co)

maple brick 27 foe finite element method

SIMPLE ONE LAYER PERCEPTRON MATLAB

包括主成分分析、因子分析、贝叶斯分析，有详细的注释，BP神经网络用于函数拟合与模式识别。( Including principal component analysis, factor analysis, Bayesian analysis, There are detailed notes, BP neural network function fitting and pattern recognition.)