首页> 外文会议>International Symposium on Neural Networks(ISNN 2006) pt.1; 20060528-0601; Chengdu(CN) >Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance Theory
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Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance Theory

机译:基于多层感知器和自适应共振理论的混合神经网络模型

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摘要

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.
机译:考虑了混合神经网络的模型。该模型包括用于聚类的模型ART-2和用于图像预处理的感知器。感知器提供对对象的不变识别。该模型可用于移动机器人中,以识别机器人运动期间可见的新物体或场景。

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