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Proceedings Paper

Knowledge-based artificial neural network and the application of it in understanding remotely sensed images
Author(s): Chunxiang Wu
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Paper Abstract

The Artificial Neural Network (ANN) is an intelligent computer system bases on the empirical learning of the human being. Knowledge-Based Artificial Neural Networks (KBANN) effectively combines the knowledge learnt from theory with that of learnt from examples. This efficient combination of theory and data may result in efficient learning system. And the method of building a KBANN solves the problem that how to design the structure of the neural network. According to the way of building a KBANN, interpreting system of Remotely-Sensed images can be built.

Paper Details

Date Published: 20 September 2001
PDF: 5 pages
Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); doi: 10.1117/12.441692
Show Author Affiliations
Chunxiang Wu, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 4555:
Neural Network and Distributed Processing
Xubang Shen; Jianguo Liu, Editor(s)

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