模式识别与人工智能系统的生存期模型建立

Construction of a Life Period Model of Pattern Recognition and Artificial Intelligence Systems

提出一种对模式识别与人工智能系统都适应的生存期模型——树状模型.模型先以类似瀑布模型的方式,用少量模型单元生成一个模式识别系统的原型,或用少量知识单元生成一个人工智能系统的原型.然后,以此原型为基础,领域的每一个模型单元或领域的每一个知识单元按类似瀑布模型的不同阶段,以流水线生产方式生产出来.最后,把它们一一以近似分类(树状结构)方式装入库中,如此循环往复,生成该系统的不同软件版本.

A life period model of pattern recognition and artificial intelligence systems tree structure model is put forward in this paper. Knowledge engineers establish a prototype of a pattern recognition system with a few of pattern units or one of an artificial Intelligence system with a few of knowledge units by the method similar to waterfall model. Based on this prototype, every pattern unit or knowledge unit in the domain can be produced with the method of assembly line according to different periods similar to the waterfall model. Every unit is put into the base one by one according to the approximately sorting method. By this way again and again, different copies of the system can be obtained.