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Edge detection using gradient and laplacian operator

可以实现粗糙集的整个算法，从上下近似、属性约简、属性重要度到决策规则的输出和规则的确定性因子，全部实现。内附测试数据，有详细的注解，可以实现与数据库的直接连接。(Rough set can be achieved throughout the algorithm, from top to bottom approximation, attribute reduction, attribute importance to the uncertainty factor output of decision rules and regulations, all to achieve. Enclosing the test data, detailed notes, can be achieved with a direct connection to the database.)

蒙特卡洛算法代码，实例验证，matlab历程(Monte Carlo algorithm code, case validation, matlab process)

wavelet,很好用的原码哦，一起试试吧(wavelet, with the original code Oh well, try it with)

R语言统计分析软件简明教程，适合初学者深入学习(R language statistical analysis software simple tutorial for beginners in-depth study)

道尔夫-切比雪夫线阵的matlab程序实现，输入阵元数目，间距，副瓣电平要求，获取阵元激励与波瓣图(The implementation of the Matlab program of the Dove-Chebyshev line array, input array element number, spacing, sidelobe level requirements, and array element excitation and lobe diagram)

clustering data at matlab

通过输入区间端点a和b以及精度，初始等分数和最大外推层数来近似f(x)在a到b上的积分！(By entering a and b as well as the interval endpoint accuracy, the initial fraction and the like to approximate the maximum number of layers extrapolation f (x) at the points a to the b!)

Multiple Source EM Wave propagation modeling via Finite Differences

本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(this paper adopted particle swarm optimization algorithm to optimized the model parameters, make the test set error as the judgments, realized the optimization of model parameters, maked prediction accuracy improved. Practical examples show that convergence of prediction method was pefect, had a higher prediction accuracy and fast training speed.)