A Preconditioned Unconstrained Optimization Method for Training Multilayer Feed-forward Neural Network
Non-linear unconstrained optimization methods constitute excellent neural network training methods characterized by their simplicity and efficiency. In this paper, we propose a new preconditioned conjugate gradient neural network training algorithm which guarantees descent property with standard Wo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Journal of Multidisciplinary Modeling and Optimization
2020-02-01
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| Series: | Journal of Multidisciplinary Modeling and Optimization |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/pub/jmmo/issue/52642/496993?publisher=http-w3-sdu-edu-tr-personel-00606-prof-dr-ahmet-sahiner |