LEARNING
Hybrid Neural Network Model based on Multi-Layer Perceptron and Adaptive Resonance Theory 1
А. В. Гаврилов, Young-Koo Lee, Sungyoung Lee
- 发表年份
- 2006
- 引用次数
- 2
摘要
Abstract. The model of the hybrid neural network is considered. This model consists of model ART-2 for clustering and perceptron for preprocessing of images. The perceptron provides invariant recognition of objects. This model can be used in mobile robots for recognition of new objects or scenes in sight the robot during his movement. 1
关键词
Adaptive resonance theoryComputer scienceArtificial intelligencePreprocessorPerceptronArtificial neural networkCluster analysisMultilayer perceptronMobile robotPattern recognition (psychology)
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