Time Load Forecasting: A Smarter Expertise Through Modern Methods

T Som - … Techniques for Renewable Energy Generation and …, 2023 - Springer
Electricity is a necessary aspect of modern life, and it benefits us in a variety of ways.
Electricity is a part of daily living of human race, which includes basic lighting, cooling …

A New Method of Interval Type-2 Fuzzy-Based CNN for Image Classification

P Murugeswari, S Vijayalakshmi - Computational Vision and Bio-Inspired …, 2021 - Springer
Last two decades, neural networks and fuzzy logic have been successfully implemented in
intelligent systems. The fuzzy neural network system framework infers the union of fuzzy …

Interval type-2 fuzzy control using distending function

J Dombi, A Hussain - Fuzzy Systems and Data Mining V, 2019 - ebooks.iospress.nl
In this paper, we present a novel interval type-2 fuzzy controller. Its unique features are: 1) A
new interval type-2 membership function called type-2 Distending Function (T2DF) is used. It …

[PDF][PDF] Interval type-2 intuitionistic fuzzy logic system for forecasting the electricity load

I Eyoh, J Eyoh, I Umoeka - … journal of advances in scientific research …, 2020 - academia.edu
ABSTRACT A study on load forecasting prediction is important for efficient management of
users' demands for any utility such as electricity and gas. Many computational intelligence …

CNN-Fuzzy Rule Based System for Classifying Medical Imaging Process

M Vijaya, A Aruna - Journal of Algebraic Statistics, 2022 - publishoa.com
Diagnosing medical data could be done through an expert physician or by radiologists,
Evolving artificial intelligence support in decision systems in order to diagnose medical data …

Robust Fuzzy Control using the Type2 Distending Function

J Dombi, A Hussain - … Intelligence and Informatics and 7th IEEE …, 2019 - ieeexplore.ieee.org
Here, we develop a novel robust type2 fuzzy controller (FC). It is based on a new type-2
membership function called the type2 Distending Function (T2DF). It can model the …

[PDF][PDF] Ann-Trained Using Bat Algorithm for Modeling University-Based Energy Consumption on Short Term Basis

MO Okelola, AA Olatide - Ann-Trained Using Bat Algorithm for …, 2019 - academia.edu
Adequate planning and right decision making in the energy sector lies on accurate forecasts
of the load demand. In this paper, Artificial Neural Network (ANN) trained via Bat algorithm …