Firstly , the basic theories of artificial neural network are introduced , including neural cell model , the basic structure of artificial neural network and the study methods . the essential of bp network with function approximation and rbf network and the performance of technology are analyzed . the algorithm of bp and rbf networks are also studied 論文首先闡述了神經(jīng)網(wǎng)絡(luò)的基本理論,包括神經(jīng)元模型,神經(jīng)網(wǎng)絡(luò)的基本結(jié)構(gòu)和神經(jīng)網(wǎng)絡(luò)的學(xué)習(xí)方法;分析了具有函數(shù)逼近能力的bp網(wǎng)絡(luò)和徑向基函數(shù)( rbf )網(wǎng)絡(luò)實(shí)質(zhì)、技術(shù)實(shí)現(xiàn)問題,并研究了bp和rbf網(wǎng)絡(luò)學(xué)習(xí)算法。