Research Of Machine-Learning Based Support Vector Machine

Learning is the fundamental feather of all intelligent system.machine-learning is a domain with most intelligent feather and a domain with most foreland.machine-learning research how to obtain new knowledge and new technique by recognition and using existing knowledge.machine-learning let computer simulate man's learning-action,automatically obtain new knowledge and new technique by learn,improve technique,realize own-perfect. To traditional statistics,Statistical Learning Theory is a theory of researching rule of machine-learning under little sample number.From 1960's,V.Vapnik etc. begin to research this theory.To middle of 1990's,this theory increasivly improved and completed.Statistical Learning Theory build on a set of stabile theory,offer a united framework to resolve little sample learning question,it can hold lots of existing method,and it build a new currency learning method--Support Vector Machine,Support Vector Machine method had represent better performance than existing method. This article summarize today state and application domain of machine-learning and Support Vector Machine,expound basic concept and basic model of machine-learning and Support Vector Machine and training arithmetic of Support Vector Machine.Aim at structure of machine-learning system,this article put forward module-design of machine-learning system,partition four module:deal-input,train,evaluate and evaluate representation,and design communicate style of each module,realize this four module and module-integration system. On result of researching machine-learning based Support Vector Machine,Face-Detection system is producted.This system mainly include dealing image of man-face and encode,machine-learning based Support Vector Machine,evaluate and evaluate representation,realize automatically judging man-face.