Visual analysis to investigate the capability of ANFIS in modelling hydrological relationship using synthetic dataset
ANFIS (Adaptive Neuro Fuzzy Inference System), for its advantages of having linguistic representation of models has been the interests of both hydrological operational modellers and scientists/theorists. In hydrology especially, every process is unique and dependent on large number of natural factor...
Main Authors: | Ngahzaifa, Ab. Ghani, Zuriani, Mustaffa, Zafril Rizal, M Azmi |
---|---|
Format: | Article |
Language: | English |
Published: |
American Scientific Publisher
2018
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/19447/1/53.%20Visual%20analysis%20to%20investigate%20the%20capability%20of%20ANFIS%20in%20modelling%20hydrological%20relationship%20using%20synthetic%20dataset1.pdf |
Similar Items
-
Question classification of CoQa (QCOC) dataset
by: Abbas Saliimi, Lokman, et al.
Published: (2021) -
Aesthetical decision making of music composer using ANFIS
by: Mashinchi, M. Reza, et al.
Published: (2007) -
Wireless and configurationless iClassroom system with remote database via Bonjour
by: M. A., Ameedeen, et al.
Published: (2012) -
A blind multiple watermarks based on human visual characteristics
by: Ernawan, Ferda, et al.
Published: (2018) -
A review of training methods of ANFIS for applications in business and economic
by: Mohd Salleh, Mohd Najib, et al.
Published: (2016)