神經(jīng)網(wǎng)絡(luò)隨機(jī)擾動(dòng)穩(wěn)定性研究
ON STABILITY STUDY OF NEURAL NETWORKS WITH RANDOM PERTURBATION
-
摘要: 本文基于隨機(jī)微分方程理論,嚴(yán)格地分析了一類廣義的Hopfield連續(xù)時(shí)間神經(jīng)網(wǎng)絡(luò)在白噪聲擾動(dòng)下的穩(wěn)定性,并建立了相應(yīng)的穩(wěn)定性判據(jù)和網(wǎng)絡(luò)的設(shè)計(jì)準(zhǔn)則。Abstract: Based on the theory of stochestic differential equation, the stability of a kind of generalized continuous-time Hopfield neural network with white noise perturbation is studied, and the related stability criteria and design requirements of neural networks are established.
-
J. J. Hopfield, Proc. Natl. Acad. Sci. USA, 81 (1984) 3, 3088-3092.[2]A. N. Michel, J.A. Farrell, W. Porod, IEEE Trans, on CAS, CAS-36 (1989)2, 229-243.[3]J. Li, A. N. Michel, W. Porod, IEEE Trans. on CAS, CAS-36(1989)5, 713-731.[4]胡宣達(dá),隨機(jī)微分方程穩(wěn)定性理論,南京大學(xué)出版社,南京,1986年,第63-135頁. -
計(jì)量
- 文章訪問數(shù): 1965
- HTML全文瀏覽量: 78
- PDF下載量: 556
- 被引次數(shù): 0
下載:
