Using Artificial Intelligence to Retrieve the Optimal Parameters and Structures of Adaptive Network-Based Fuzzy Inference System for Typhoon Precipitation Forecast Modeling
This study aims to construct a typhoon precipitation forecast model providing forecasts one to six hours in advance using optimal model parameters and structures retrieved from a combination of the adaptive network-based fuzzy inference system (ANFIS) and artificial intelligence. To enhance the accu...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
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Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2015/472523 |
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