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测试PSO算法的新的组合测试函数
- Novel Composition Test Functions for Numerical Global Optimization func_test.m is the main program, a basic PSO algorithm PSO_func.m is attached. SIS_novel_func.m is the function program,including six composition functions f=SIS_novel_func(x,f
wpt
- Nice to have membership with this site.Please Help me in associate with matlab source code
cvpr11_faceapmodel
- 一个用于人脸识别的联想-预测模型，此文中设计的模型可以很好的识别出在不用环境下的人脸-An associate- predict Model for Face Recognition ,design model in the text can be well identified in the environment not face
thumbnailScatter
- It is much easier to spot patterns in your data when you can associate an image with each datapoint. thumbnailScatter.m overlays an image thumbnail over each datapoint to help with visualization. For example, if you perform a principal components
repcobankapplication
- To associate with your organization that provides me an opportunity to improve -To associate with your organization that provides me an opportunity to improve
huiseTguanliandu
- 各种灰色T型关联度代码，修正的T型关联度，改进的T型关联度,邓氏关联度，绝对关联度，相对关联度等。非常方便！-Various gray T-correlation code, modified T-correlation, improved T-correlation, Tangs correlation, absolute degree, associate degree relative. Very convenient!
libsvm-mat-2.89-3[Mcode]
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包。-LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Linzhiren (Lin Chih-Jen) and associate development and design.
Efficient-Implementation-of-Dual-First
- The aim of the diploma project is to study the implementation challenges of numerical optimization algorithms that appear in embedded model predictive control. A detailed review of some of the most important numerical optimization algorithms fo
Matlab文件關聯修復
- Matlab文件關聯修復: .MAT .M 在Matlab輸入associateMatlabFiles, 生成.reg文件,打開,成功.
OSU_SVM3.00
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，(LIBSVM is the National Taiwan University Lin Zhiren (Lin Chih-Jen) Associate Professor, development and design of a simple, easy to use SVM pattern recognition and regression and eff