A Probabilistic model for the cooperative modular neural network

• Type: Article in International Scientific Journal
• Date: 2003

Authors

Luís Alexandre (Author) FEUP; Aurélio Campilho (Author) FEUP; Mohamed Kamel (Author) FEUP

Journal

The Journal is awaiting validation by the Administrative Services.

Title: INTERACTIVE SYSTEMS: DESIGN, SPECIFICATION, AND VERIFICATION

Vol. 2652

Pages: 11-18

Indexing

ISI Proceedings

ISI Web of Knowledge - 1 Citation

ISI Web of Science

Scopus - 2 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Electronic engineering

Other information

Authenticus ID: P-000-K9B

DOI: 10.1007/978-3-540-44871-6_2

Abstract (EN): This paper presents a model for the probability of correct classification for the Cooperative Modular Neural Network (CMNN). The model enables the estimation of the performance of the CMNN using parameters obtained from the data set. The performance estimates for the experiments presented are quite accurate (less than 1% relative difference). We compare the CMNN with a multi-layer perceptron with equal number of weights and conclude that the CMNN is preferred for complex problems. We also investigate the error introduced by one of the CMNN voting strategies.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8