Collection of pattern recognition related papers, including the BO neural networks, support vector machines

Pattern Recognition\1-1.-+ +++--+.doc
...................\200732094629547.pdf
...................\bp++matlab原代码.txt
...................\BP算法用MATLAB语言的实现方法.pdf
...................\BP算法的改进在Matlab的实现研究.pdf
...................\chp7.ppt
...................\images.zip
...................\jsjg200202024.caj.pdf
...................\matlab 通用神经网络代码.txt
...................\Matlab+函数大全.pdf
...................\Matlab人工神经网络工具箱中的BP工具函数及其应用.pdf
...................\matlab神经网络工具箱.pdf
...................\Matlab神经网络工具箱BP算法比较.pdf
...................\MLPNetworksimulation.pdf
...................\Speech_seg.zip
...................\SVMDT分类器及其在文本分类中的应用研究.pdf
...................\一种优化多层前馈神经网络中隐节点数的算法.pdf
...................\一种基于SVM分类器的HRRP-ATR方法.pdf
...................\一种改进的BP算法及其MatLab仿真.pdf
...................\利用神经网络进行分类.txt
...................\基于BP神经网络的车型分类器.pdf
...................\基于LM算法的BP神经网络分类器(1).pdf
...................\基于LM算法的BP神经网络分类器.pdf
...................\基于区域目标检测的红外与可见光图像序列融合.pdf
...................\基于均值漂移和粒子滤波的红外目标跟踪.pdf
...................\基于支撑矢量机的自动视频分类方法.pdf
...................\基于改进的模糊C均值的BP分类器设计.pdf
...................\基于模糊多层感知机的模式分类方法的研究.pdf
...................\基于粒子滤波的红外目标跟踪.pdf
...................\感知分类器的MATLAB仿真源代码.txt
...................\支持向量机.rar
...................\支撑矢量机的改进分类器算法.pdf
...................\改进BP算法在过程神经网络中的应用.pdf
...................\最小二乘法原理及其MATLAB实现.pdf
...................\神经网络.txt
...................\神经网络newff函数的使用.txt
...................\线性规划支持向量机.pdf
...................\课件\11_clustering_algorithms.ppt
...................\....\12_clustering_algorithms.ppt
...................\....\13_clustering_algorithms.ppt
...................\....\14_clustering_algorithms1.ppt
...................\....\15_clustering_algorithms1-14-12.ppt
...................\....\16_clustering_algorithms-14-12.ppt
...................\....\1_Classifiers_Bayes.ppt
...................\....\2_Linear_Classifiers.ppt
...................\....\3_Non_Linear_Classifiers.ppt
...................\....\4_Feature_Selection.ppt
...................\....\5_Feature Generation.ppt
...................\....\6_Template_Matching.ppt
...................\....\7_Context_Dependent_Classification.ppt
...................\....\8_System Evalutation.ppt
...................\....\image1.bmp
...................\....\image2.bmp
...................\....\image3.bmp
...................\....\image4.bmp
...................\....\image5.bmp
...................\....\image6.bmp
...................\....\image7.bmp
...................\....\part1.zip
...................\....\part2.zip
...................\....\.rdemo\Checkers_book.asv
...................\....\......\common\Arx1hl.m
...................\....\......\......\Arx2hl.m
...................\....\......\......\ARXIKES.M
...................\....\......\......\boun1.M
...................\....\......\......\boun2.M
...................\....\......\......\boun3.M
...................\....\......\......\bounder.m
...................\....\......\......\Bptr.m
...................\....\......\......\Bptr3.m
...................\....\......\......\bptr3pr.m
...................\....\......\......\Bptra.m
...................\....\......\......\Bptra3.m
...................\....\......\......\Bptrm.m
...................\....\......\......\Bptrm3.m
...................\....\......\......\Bptrx.m
...................\....\......\......\Bptrx3.m
...................\....\......\......\CalcKernel.m
...................\....\......\......\Checkers_book.m
...................\....\......\......\cmap.mat
...................\....\......\......\COST_FUN.M
...................\....\......\......\GAUSSIAN.M
...................\....\......\......\globcontr.asv
...................\....\......\......\globcontr.m
.........

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．