Gibbs-Phen

curve fitting by fft

实现模糊pid控制器功能，有完整的模糊规则(includ fuzzypid code，and fuzzy ruler)

粒子群解决旅行商问题 包含数据集 运行结果良好(Particle Swarms Optimization tsp)

求解无标度网络,用于求解无标度网络模型的(Solving scale-free networks, for solving scale-free network model)

模式识别作业三，对属性的优先选择和数据分类。(Pattern recognition job priority attribute selection and data classification.)

matlab实现汽车ABS仿真控制策略；simulink实现汽车悬架控制策略(MATLAB realizes automobile ABS simulation control strategy; Simulink realizes vehicle suspension control strategy.)

DBPSK调制模式在高斯信道下的误码率。(the ber performance of DBPSK through gaussian channel.)

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection

用matlab做方差分析的几个例程包括：单因素一元方差分析，双因素一元方差分析 非参数方差分析(ANOVA using matlab to do a few routines include: single-factor analysis of variance one yuan, two-factor analysis of variance one yuan non-parametric analysis of variance)

本软文件是copula的matlab说明和案例，是Word文档。(The soft file is the copula matlab description and case, is the Word document.)