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RISA Novel Unsupervised Neuro-Fuzzy System Applied to Circuit Analysis
Abstract: In this paper, for the first time, unsupervised neuro-fuzzy system is presented and is applied
in circuit analysis. Usually Neuro-fuzzy systems have a learning phase in which the system is trained
with input data...
Discussion of “Neuro-fuzzy GMDH systems based evolutionary algorithms to predict scour pile groups in clear water conditions” by M. Najafzadeh
The author utilized neuro-fuzzy based group method of data handling (NF-GMDH) to predict the local
scour depth around pile groups under clear-water conditions. They collected the datasets from literature.
To ...
An investigation of artificial intelligence methodologies in the prediction of dirty amine flow rate of gas sweetening absorption column
as output. Recursive least square and error back propagation algorithm have been applied for training adaptive neuro-fuzzy system and multi layer perceptron neural network. Comparison of prediction errors showed that both models predict dirty amine flow rate...
Application of ANN and ANFIS models for reconstructing
Hydrological yearbooks, especially in
developing countries, are full of gaps in flow data
series. Filling missing records is needed to make
feasibility studies, potential assessment, and realtime
...