徑向基函數(shù)網(wǎng)絡(luò)的ABS投影學(xué)習(xí)算法
THE ABS LEARNING ALGORITHM FOR RADIAL BASIS FUNCTIONAL NETWORK
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摘要: Broomhead(1988),Chen(1991)等人提出的RBF網(wǎng)絡(luò)的學(xué)習(xí)算法都是基于傳統(tǒng)的LMS算法,因此具有一定的局限性。本文提出了一種新的RBF網(wǎng)絡(luò)的學(xué)習(xí)算法ABS投影學(xué)習(xí)算法,它是一種直接的學(xué)習(xí)算法。計算機模擬的結(jié)果表明,它具有學(xué)習(xí)效率高,識別率高和適用范圍廣的優(yōu)點。
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關(guān)鍵詞:
- 神經(jīng)網(wǎng)絡(luò); 模式識別; 學(xué)習(xí)算法
Abstract: A new learning algorithm for radial basis functional network, which is called ABS project learning algorithm, is given and computing results show that it can be used for pattern recognition and other areas. -
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