svm-prediction

matlab 电子工业出版社 中文学习资料，版本7.0(Publishing House of Electronics Industry matlab Chinese learning materials, version 7.0)

干涉相位滤波（均值、中值、圆周期）用于insar的三种不同滤波方法(Three different filtering methods for InSAR based on interferometric phase filtering (mean, median and circle period))

Turbo编码技术及其在移动通信中的应用研究(Turbo coding technology and its application in mobile communication research)

最大化频谱接入机会的能量检测方法的研究-----认知无线电(Access to opportunities to maximize the energy spectrum detection of cognitive radio-----)

机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等(Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidden Markov model), random trees (random forest), etc.)

说明：  implementation of an example in genetic algorithms

用四元十字阵做被动声定位算法设计，现在是用matlab神经网络工具箱构建RBF神经网络然后仿真显示图形(With a four-element Array do passive acoustic localization algorithm design, now using matlab neural network toolbox and then build on RBF neural network simulation display graphics)

针对遥感影像在定量描述土地覆盖和热环境分布方面的优越性，利用支持向量机( SVM) 分类器对遥感影像进行分类，获取土地覆盖图，利用单窗算法反演获取地表温度(For a quantitative description of the superiority of remote sensing images in land cover and distribution of thermal environment, the use of support vector machine (SVM) Classification of remote sensing image classification, access to land cover map, using a single Window Algorithms get LST)

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

说明：  遗传算法程序及实例 主要用来求解无约束优化问题，欢迎您的光临哦！请多多支持！(Procedures and examples of genetic algorithm for the typical numerical examples.I wish it helpful for you! Welcome to come here!)