A Fuzzy Adaptive Resonance Theory-Based Model for Mix Proportion Estimation of High-Performance Concrete
A new approach that adopts the use of fuzzy adaptive resonance theory (ART) neural network in estimating high-performance concrete (HPC) mix proportion from experimental data is devised. The proposed model receives a set of desired concrete performances, searches for a set of mix proportions that is...
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| 主要な著者: | , , , |
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| フォーマット: | E-Article |
| 出版事項: |
Computer-Aided Civil and Infrastructure Engineering
2017
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| 主題: | |
| オンライン･アクセス: | http://ir.unimas.my/id/eprint/17318/ http://onlinelibrary.wiley.com/doi/10.1111/mice.12288/full |
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