神经网络的逻辑分析
LOGICAL ANALYSIS FOR NEURAL NETWORKS
-
摘要: 本文对比约束满足网络,描述了连续状态神经网络的逻辑理论的基本框架,给出了矛盾的定量分析方法。分析表明,神经元逻辑状态变化的根本原因是网络中存在优势矛盾;神经网络求解的动态过程对应于消除优势矛盾的过程。Abstract: By comparison with constraint satisfaction networks, this paper presents an essential frame of the logical theory for continuous-state neural networks, and gives the quantitative analyzing method for contradiction. The analysis indicates that the basic reason for the alternation of the logical states of the neurons is the existence of superior contradiction inside the networks. The dynamic process for a neural network to find a solution corresponds to eliminating the superior contradiction.
-
Montanari U, Rossi F. Constraint relaxation may be perfect[J].Artificial Intelligence.1991, 48(2):143-170[2]Touretzky D S, Hinton G E. A distributed connectionist production system[J].Cognitive Science.1988, 12(3):423-466[3]Guesgen H W, Hertzberg J. A constraint-based approach to sptiotemporal reasoning. Applied Intel-[4]ligence, 1991,3(1): 71-90.[5]Hopfield J J. Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Natl. Acad. Sci. USA, 1984, 3088-3092.[6]Sejnowski T J, Kienker P K, Hinton G E. Learning symmetry groups with hidden units: Beyond the perceptron. Physica, 1988, 22D: 260-275.[7]Grossberg S, Mingolla E, Todorovic D. A neural network architecture for preattentive vision. IEEE Trans. on BME, 1989, BME-36(1): 65-84. -
计量
- 文章访问数: 1826
- HTML全文浏览量: 86
- PDF下载量: 382
- 被引次数: 0
下载:
