摘要： SVM(support Vector machine) (1) SVM（Support Vector Machine）是从瓦普尼克（Vapnik）的统计学习理论发展而来的，主要针对小样本数据进行学习、分类和预测（有时也叫回归）的一种方法，能解决神经网络不能解决的过学习问题。作者以为，类似的根据样本进行学习的方法还有基于案例的推理（Case-Based Reasoning），决策树归纳算法C4.5等... 阅读全文

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摘要： Beginning 1. In this paper, we focus on the need for 2. This paper proceeds as follow. 3. The structure of the paper is as follows. 4. In this paper, we shall first briefly introduce fuzzy sets and related concepts 5. To begin with we will provide a brief background on the Introduction 1. This will 阅读全文

摘要： 部分源码选自GDAL库的官方网址：www.gdal.org，其余的代码为笔者自己编写。 1 // readfile.cpp : 定义控制台应用程序的入口点。 2 // 3 /* 4 part of the codes were cite from: http://www.gdal.org/gdal_tutorial.html 5 and remaining of code were created :by www.cnblogs.com/AmatVictorialCuram/‎ 6 and please mark the site if you cite the progra... 阅读全文