Evaluating the Vapnik–Chervonenkis dimension of artificial neural networks using the Poincaré polynomial-Reference-Cited by-同舟云学术

Evaluating the Vapnik–Chervonenkis dimension of artificial neural networks using the Poincaré polynomial

Published:1999-04 Issue:3 Volume:12 Page:403-408
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Carter Martha A.,Oxley Mark E.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference10 articles.

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2. Carter, M.A., The mathematics of measuring capabilities of artificial neural networks, Ph.D. thesis, Air Force Institute Institute of Technology, Wright–Patterson AFB, OH. DTIC ADA297408.

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4. Arrangements of hyperplanes;Orlik,1991

5. On the figures formed by the intercepts of a system of straight lines in a plane and on analogous relations in space of three dimensions;Roberts;Proceedings of London Mathematical Society,1889

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