Musical SOM Training
上传时间： 2013-12-15
上传用户：mpquest
Self Organizing Hierarchical Routing
标签： Hierarchical Organizing Routing Self
上传时间： 2015-11-12
上传用户：253189838
Introduction to neural networks, Back Propagation networks, Recurrent networks, Self Oganising networks, Reinforcement learning. Robot Control, Vision systems. Hardware and software Implementaionts.
标签： networks Introduction Propagation Oganising
上传时间： 2014-01-14
上传用户：xcy122677
A self-designed control of PC parallel port communication is introduced in this paper.Taking advantage of the MFC ActiveX technology, it is developed in Visual C++ and offset the scarcity of the control of PC parellel paort communication. An example of frequency measurement shows the detail procedure and application of the control.
标签： self-designed communication introduced parallel
上传时间： 2015-12-02
上传用户：Miyuki
小弟撰寫的類神經pca對圖片的壓縮與解壓縮,對來源圖片training過後,可使用該張圖像的特性(eigenvalue和eigenvetex)來對別張圖解壓縮,非常有趣的方式,再設定threashold時注意時值不要過大,因為這牽涉inverse matrex的計算.
标签： eigenvalue eigenvetex threashol training
上传时间： 2015-12-02
上传用户：wpwpwlxwlx
類神經網路的基本運算-TLU,為所有學習類神經入門的的第一個演算法,單一的neural做簡易的training,雖無法解xor的問題,但卻是人類史上的類神經的第一步.
上传时间： 2015-12-02
上传用户：851197153
Capture CIS training的一些教程，对学习CIS有一些帮助。
上传时间： 2013-12-23
上传用户：330402686
SVMcfg: Learns a weighted context free grammar from examples. Training examples (e.g. for natural language parsing) specify the sentence along with the correct parse tree. The goal is to predict the parse tree of new sentences.
标签： examples e.g. weighted Training
上传时间： 2014-07-26
上传用户：zsjzc
This the implementation of structural SVM for training complex alignment models for protein sequence alignment, especially for homology modeling. The structural SVM algorithm can incorporate many relevant features like secondary structure, relative exposed surface area, profiles and their various interaction into the alignment model. It was developed under Linux and compiles under gcc, built upon the svm^light software by Thorsten Joachims.
标签： implementation structural for alignment
上传时间： 2014-01-11
上传用户：chenbhdt
SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech tagging) specify the sequence of words along with the correct assignment of tags (i.e. states). The goal is to predict the tag sequences for new sentences.
标签： examples e.g. part-of-speech Training
上传时间： 2015-12-05
上传用户：gyq
