In this paper, we address the linear hard optimization problems with the emphasis on two- point boundary value conditions which is referred to as two-point boundary value problem (TPBVP). We propose two different neural networks for solving a class of linear TPBVPs. We show that the proposed networks can solve linear TPBVPs. We also provide experimental results.

Date Published: 1 July 1992
PDF: 6 pages
Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); doi: 10.1117/12.140089

Published in SPIE Proceedings Vol. 1710:
Science of Artificial Neural Networks
Dennis W. Ruck, Editor(s)