JACIII Vol.4 No.1 pp. 52-56
doi: 10.20965/jaciii.2000.p0052


Application of Choquet Integral to Efficient Aggregation of Neural Networks

Sung-Bae Cho

Department of Computer Science, Yonsei University 134 Shinchon-dong, Sudaemoon-ku, Seoul

November 1, 1998
June 28, 1999
January 20, 2000
Combining neural networks, Choquet integral, Handwritten numeral recognition

This paper presents a novel application of fuzzy integral to combine multiple neural networks subjectively. The concept of combining multiple neural networks or classifiers has been largely exploited in the fields of artificial neural networks and pattern recognition. The proposed method based on Choquet integral nonlinearly combines the outputs of the networks with subjective evaluation of the reliability of the individual neural networks. Experimental results with the recognition problem of totally unconstrained handwritten numerals show that the performance of the proposed method outperforms that of the conventional methods.

Cite this article as:
Sung-Bae Cho, “Application of Choquet Integral to Efficient Aggregation of Neural Networks,” J. Adv. Comput. Intell. Intell. Inform., Vol.4, No.1, pp. 52-56, 2000.
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