摘要
提出了一种新的动物识别系统的设计方法。通过对有穷自动机理论与动物识别系统进行分析,建立了一个基于动物特征的确定型有穷自动机的模型.该模型描述了当输入一个动物特征值后,自动机的状态将发生转移,当输入的动物特征值充足时,即可识别出动物的种类.最后,根据这种模型设计出了动物识别系统,并上机进行了实现。
A new approach on the design of animal recognition system （ARS） is presented in this paper. By analyzing the theory of Deterministic Finite Automata （DFA）and ARS, a DFA model based on animal character is established. This model describes that the DFA state will transmit while one of animal character value is inputted, and that which kinds of animal will be recognized after animal character value is inputted enough. Finally, the animal recognition system is designed based on the model and is implemented on the computer.
出处
《微电子学与计算机》
CSCD
北大核心
2005年第12期55-58,共4页
Microelectronics & Computer
基金
国家自然科学基金项目(60173058)
