An improved constructive neural network ensemble approach to medical diagnoses

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Abstract

Neural networks have played an important role in intelligent medical diagnoses. This paper presents an Improved Constructive Neural Network Ensemble (ICNNE) approach to three medical diagnosis problems. New initial structure of the ensemble, new freezing criterion, and a different error function are presented. Experiment results show that our ICNNE approach performed better for most problems. © Springer-Verlag Berlin Heidelberg 2004.

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Wang, Z., Yao, X., & Xu, Y. (2004). An improved constructive neural network ensemble approach to medical diagnoses. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3177, 572–577. https://doi.org/10.1007/978-3-540-28651-6_84

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