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HSSVM是一个用超球SVM（Hyper-Sphere Support Vector Machines）模型求解多分类问题的工具包，采用Java语言实现。开发该程序的主要目的，是利用超球SVM求解模型代替传统上借助于解二分类问题的经典SVM模型来求解多分类问题。本文将论述该程序的主要实现细节，包括相关算法及设计原理的描述。(HSSVM is an ultra ball SVM (Hyper-Sphere Support Vector Machines) to solve multi-classification model of tool kit, using Java language. Development of the program' s main purpose is to solve the model by Ball SVM instead of the traditional means of solving two classification problems on the classical SVM model to solve multi-classification problems. This article discusses the main implementation details of the program, including related algorithms and design principles are described.)

高阶谱估计的函数方程,很有用处,也是用于检测被高斯信号淹没的信号(higher order spectral estimation function equation, useful, as well as for detecting submerged by the Gaussian signal signal)

五点差分格式解重调和问题，采用适当的技巧将其分解成两个Possion方程求解(Five-point difference scheme solution Biharmonic)

包括最小二乘法、SVM、神经网络、1_k近邻法,包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，多元数据分析的主分量分析投影，关于神经网络控制，用于时频分析算法，单径或多径瑞利衰落信道仿真，是小学期课程设计的题目，重要参数的提取。( Including the least squares method, the SVM, neural networks, 1 _k neighbor method, PV modules contain, MPPT module, BOOST module, inverter module, Principal component analysis of multivariate data analysis projection, On neural network control, For time-frequency analysis algorithm, Single path or multipath Rayleigh fading channel simulation, Is the topic of the elementary school stage curriculum design, Extract important parameters.)

双向渐进结构拓扑优化原始代码，采用软杀伤法的BESO( the source code of Bidirectional evolutionary structural topology optimization with the soft kill law BESO)

利用改进的粒子群算法实现了分布式电源的优化配置！有详细的中文注释！(The improved particle swarm optimization algorithm is used to optimize the configuration of distributed power supply. Detailed Chinese notes!)

zernike matlab代码函数。。。。。(zernike matlab code function. . . . .)

最小二乘法原理及matlab实现的详细介绍(Least square method and matlab implementation details)

用matlab实现的Hilbert-huang变换算法。(Implemented with the matlab Hilbert-huang transform algorithm.)

this is image frequency transform,vevr good(This is the image frequency transform, vevr good)