arXiv research

Paper proposes an online learning algorithm for a neuro-fuzzy classifier with mixed data.

ANFIS system improves satellite attitude estimation and control.

Generates music with video emotion using deep neural networks.

Study uses ANFIS to assess wind power under climate change.

Study uses DHS to classify anemia types using CBC indices.

The U.S. water distribution system contains thousands of miles of pipes constructed from different materials, and of various sizes, and age. These pipes suffer from physical, environmental, structural and operational stresses, causing deterioration which eventually leads to their failure. Pipe deterioration results in …

Exploration of hydrocarbon resources is a highly complicated and expensive process where various geological, geochemical and geophysical factors are developed then combined together. It is highly significant how to design the seismic data acquisition survey and locate the exploratory wells since incorrect or imprecise …

This paper compares methods for handling mixed-attribute data in GFMM neural networks.

This paper presents the development of a hybrid learning system based on Support Vector Machines (SVM), Adaptive Neuro-Fuzzy Inference System (ANFIS) and domain knowledge to solve prediction problem. The proposed two-stage Domain Knowledge based Fuzzy Information System (DKFIS) improves the prediction accuracy attained…

In electroencephalogram (EEG) signal processing, finding the appropriate information from a dataset has been a big challenge for successful signal classification. The feature selection methods make it possible to solve this problem; however, the method selection is still under investigation to find out which feature ca…

The paper uses pattern similarity-based methods for mid-term electricity demand forecasting.

Hybrid models improve groundwater level prediction and uncertainty analysis.