Results 71 to 80 of about 6,025 (187)

Fractional order ANFIS controllers for LFC in RES integrated three-area power system

Journal of Electrical Systems and Information Technology
The existing adaptive neuro-fuzzy inference system (ANFIS) for load frequency control in multi-area power systems has two inputs consisting of area control error (ACE) and its integer order derivative.
Yaw O. M. Sekyere, Francis B. Effah, Philip Y. Okyere   +2 more
doaj   +1 more source

Research on Annual Runoff Prediction Based on EMD-LSTM-ANFIS Model

Renmin Zhujiang, 2021
To improve the accuracy of runoff prediction,this paper proposes a runoff prediction model based on the combination of empirical mode decomposition (EMD),long short-term memory (LSTM) neural network,and adaptive neuro-fuzzy inference system (ANFIS ...
HU Shunqiang, CUI Dongwen
doaj  

Prediction of Ultimate Strain and Strength of FRP-Confined Concrete Cylinders Using Soft Computing Methods

Applied Sciences, 2017
This paper investigates the effectiveness of four different soft computing methods, namely radial basis neural network (RBNN), adaptive neuro fuzzy inference system (ANFIS) with subtractive clustering (ANFIS-SC), ANFIS with fuzzy c-means clustering ...
Iman Mansouri, Ozgur Kisi, Pedram Sadeghian, Chang-Hwan Lee, Jong Wan Hu   +4 more
doaj   +1 more source

Gravitational Search Algorithm Enhanced Bidirectional LSTM With Graph Neural Networks: A Hybrid Approach to Groundwater Quality Prediction

Engineering Reports, Volume 8, Issue 7, July 2026.
Gravitational search algorithm enhanced bidirectional LSTM with graph neural networks. ABSTRACT Water quality is a crucial factor in sustainable development. In recent years, water contamination induced by urban development, industrialization, and human activities has been a serious concern for all living species.
C. Subashini, Suseela Sellamuthu
wiley   +1 more source

An ANFIS Approach for Real Power Transfer Allocation

Journal of Applied Mathematics, 2011
This paper proposes an adaptive neurofuzzy interface system (ANFIS) approach to identify the real power transfer between generators. Based on solved load flow results, it first uses modified nodal equation method (MNE) to determine real power ...
Hussain Shareef, Saifulnizam Abd Khalid, Mohd Wazir Mustafa, Azhar Khairuddin   +3 more
doaj   +1 more source

GRS-ANFIS: A Gate-Network-Based Role-Separated ANFIS for Interpretable Classification

Mathematics
Explainable artificial intelligence is increasingly needed in high-stakes tabular classification, where predictions should be accurate, auditable, and easy to inspect. We propose GRS-ANFIS, a role-separated neuro-fuzzy model that decomposes inference into a Primary module for main decision formation and a Complementary module for targeted correction ...
Jeong Heon Lee, Sangwook Kim, Sungmoon Jeong   +2 more
openaire   +1 more source

Multi-objective optimization and modeling of age hardening process using ANN, ANFIS and genetic algorithm: Results from aluminum alloy A356/cow horn particulate composite

Journal of Materials Research and Technology, 2019
This study reports on the modeling and multi objective optimization of age hardening process parameters using artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS).
Chidozie Chukwuemeka Nwobi-Okoye, Basil Quent Ochieze, Stanley Okiy   +2 more
doaj   +1 more source

ANFIS Control Double-Inverted Pendulum

Chemical Engineering Transactions, 2015
For double inverted pendulum multivariable, strong coupling and nonlinear proposed adaptive fuzzy neural inference system (ANFIS) is applied inverted pendulum stabilization control process. Adaptive control algorithm, fully able to meet the requirements of double inverted pendulum control, ANFIS system after training, will be applied to the inverted ...
openaire   +3 more sources

Novel application of SMD-based IPSO-ANFIS model in predicting the number of measuring points on complex surfaces

Journal of King Saud University: Computer and Information Sciences
For the coordinated on-machine measurement of curved surfaces, the accurate prediction of the number of measuring points (MPs) could provide an important theoretical time basis for machining-inspection planning, workshop production scheduling, etc.
Ruiping Luo, Qihao Chen, Gaocai Fu, Shengwen Zhou, Yingkang Lu   +4 more
doaj   +1 more source

Modeling river water quality parameters using modified adaptive neuro fuzzy inference system

Water Science and Engineering, 2019
Water quality is always one of the most important factors in human health. Artificial intelligence models are respected methods for modeling water quality.
Armin Azad, Hojat Karami, Saeed Farzin, Sayed-Farhad Mousavi, Ozgur Kisi   +4 more
doaj   +1 more source