Training ANFIS by using an adaptive and hybrid artificial bee colony algorithm (aABC) for the identification of nonlinear static systems
D Karaboga, E Kaya - Arabian Journal for Science and Engineering, 2019 - Springer
… optimization (APSO),which is one of the variants of PSO, for predicting strength of Malaysian
small and medium enterprises (SMEs). … systems used, different types of ANFIS are obtained. …
small and medium enterprises (SMEs). … systems used, different types of ANFIS are obtained. …
Modified Adaptive Neuro-Fuzzy Inference System Trained by Scoutless Artificial Bee Colony
… Optimization of ANFIS using artificial bee colony algorithm for classification of Malaysian
SMEs. In: International Conference on Soft Computing and Data Mining, pp. 21–30. …
SMEs. In: International Conference on Soft Computing and Data Mining, pp. 21–30. …
Modified ANFIS with Less model complexity for classification problems
… Optimization of ANFIS using artificial bee colony algorithm for classification of malaysian
SMES. In: International Conference on Soft Computing and Data Mining, pp. 21–30. …
SMES. In: International Conference on Soft Computing and Data Mining, pp. 21–30. …
On the exploration and exploitation in popular swarm-based metaheuristic algorithms
… The rest of the algorithms are artificial bee colony (ABC) [9], ant colony … small medium
enterprises (SME) of Malaysia based on strength. A brief introduction of ANFIS network is given …
enterprises (SME) of Malaysia based on strength. A brief introduction of ANFIS network is given …
A comprehensive review: study of artificial intelligence optimization technique applications in a hybrid microgrid at times of fault outbreaks
… strategies such as regression and classification in this study. … The metaheuristic algorithm
artificial bee colony (ABC) is … authors used ANFIS, ANN, and FL-based control algorithms to …
artificial bee colony (ABC) is … authors used ANFIS, ANN, and FL-based control algorithms to …
[HTML][HTML] An evolutionary adaptive neuro-fuzzy inference system for estimating field penetration index of tunnel boring machine in rock mass
… done using an evolutionary algorithm, ie artificial bee colony (ABC) algorithm mixed with the
ANFIS … In this paper, an improved ANFIS model is proposed for optimizing both precise and …
ANFIS … In this paper, an improved ANFIS model is proposed for optimizing both precise and …
Computational intelligence-based optimization methods for power quality and dynamic response enhancement of ac microgrids
… a classification of the mentioned CI-based optimization studies … response of the system, bee
colony optimization (BCO) was used … A few of the very important articles on ANFIS based MG …
colony optimization (BCO) was used … A few of the very important articles on ANFIS based MG …
Rule-Based Modeling of Low-Dimensional Data with Pca and Binary Particle Swarm Optimization (Bpso) in Anfis
… and consequent parameters were optimized using the artificial bee colony (ABC) optimization
algorithm to enhance the precision of ANFIS in classifying Malaysian SMEs. The ABC …
algorithm to enhance the precision of ANFIS in classifying Malaysian SMEs. The ABC …
A survey on parameters estimation of the proton exchange membrane fuel cells based on the swarm-inspired optimization algorithms
N Razmjooy - Frontiers in Energy Research, 2023 - frontiersin.org
… Various PEMFC models with various classifications and objectives are initially … artificial
bee colony differential evolution (ABCDE) optimizer is a combination of the ABC algorithm …
bee colony differential evolution (ABCDE) optimizer is a combination of the ABC algorithm …
[图书][B] Hybrid renewable energy-based facility location: a Geographical Information System (GIS) integrated multi-criteria decision-making (MCDM) approach
PA Adedeji - 2020 - search.proquest.com
… standalone ANFIS, GA-ANFIS, and PSO-ANFIS models were … artificial intelligence in the
literature focuses on classification … model, and its hybrid with population-based optimization …
literature focuses on classification … model, and its hybrid with population-based optimization …