Fundamentals of artificial neural networks

Nussbaum, Maury A.

doi:10.1016/0021-9290(96)82229-9

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2009

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“…The neural network is one of the fastest developing information processing techniques in the artificial intelligence (AI) field. The advantages of neural networks compared with other methods lie in their abilities to map the non-linear essential modalities and phenomena that exist in nature.Data fusion technology has been widely used in many areas [2]. With rapid development of neural network technology, it has become the main method of data fusion.…”

Section: Introductionmentioning

confidence: 99%

A Study of Data Fusion Based on Combining Rough Set with BP Neural Network

Gao

Wen²,

Jiang³

et al. 2009

2009 Ninth International Conference on Hybrid Intelligent Systems

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Based on rough set and basic theory of data fusion, the data fusion algorithm combining rough set theory and BP neural network is studied. Since rough set theory can effectively simplify information, cut down the tagged dimension . This paper will be rough set theory and neural networks combined, using channel capacity of knowledge relative reduction algorithms to simplify the input information. Rough set theory is first used to process the sample data, and eliminate the redundant information, then reduce the scale of neural network, improve the identification rate, and improve the efficiency of the whole data fusion system. The effectiveness of the improved algorithm is demonstrated by an example compared with the traditional neural network system.

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Section: Introductionmentioning

confidence: 99%