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- research-articleApril 2019
Application of a hybrid neural-fuzzy inference system for mapping crop suitability areas and predicting rice yields
Environmental Modelling & Software (ENMS), Volume 114, Issue CPages 166–180https://doi.org/10.1016/j.envsoft.2019.01.015AbstractEnvironmental stressors and population growth have significantly affected terraced rice ecosystems, such as in the Sapa district in northern Vietnam. The question arises how natural and socio-economic components determine the amount of ...
Highlights- Hybrid models integrating neural network, fuzzy logic and geographical information system approaches were developed to find areas suitable for rice ...
- articleDecember 2012
SoHyFIS-Yager: A self-organizing Yager based Hybrid neural Fuzzy Inference System
Expert Systems with Applications: An International Journal (EXWA), Volume 39, Issue 17Pages 12759–12771https://doi.org/10.1016/j.eswa.2012.02.056The Hybrid neural Fuzzy Inference System (HyFIS) is a multilayer adaptive neural fuzzy system for building and optimizing fuzzy models using neural networks. In this paper, the fuzzy Yager inference scheme, which is able to emulate the human deductive ...
