1 July 1992 Solving linear hard-optimization problems
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Abstract
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hua Li, Yuan Dong Ji, "Solving linear hard-optimization problems", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); doi: 10.1117/12.140089; https://doi.org/10.1117/12.140089
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