Results 31 to 40 of about 40,966 (267)
علوم آب و خاک, 2021 Optimization of artificial intelligence (AI) models is a significant issue because it enhances the performance and flexibility of the numerical models.
E. Yarmohammadi, S. Shabanlou, A. Rajabi
doaj
A review of training methods of ANFIS for applications in business and economic [PDF]
, 2016 Fuzzy Neural Networks (FNNs) techniques have been effectively used in applications that range from medical to mechanical engineering, to business and economics.
Hussain, Kashif, Mohd Salleh, Mohd Najib
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Applied Sciences, 2022 Electricity has become an important concern in today’s society. This is due to the fact that the electric grid now has a greater number of non-linear components. The AC-powered locomotive is one of these non-linear components.
Manuela Panoiu +2 more
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Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information [PDF]
, 2014 The complex temporal heterogeneity of rainfall coupled with mountainous physiographic context makes a great challenge in the development of accurate short-term rainfall forecasts. This study aims to explore the effectiveness of multiple rainfall sources (
Chang, FJ +5 more
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Journal of Water and Climate Change, 2022 Improving the performance of machine learning (ML) algorithms is essential for accurately estimating water quality parameters (WQPs). For the first time, a novel hybrid framework, namely the adaptive neural fuzzy inference system–discrete wavelet ...
Mojtaba Kadkhodazadeh, Saeed Farzin
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A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE [PDF]
, 2012 A major objective of the 3GPP LTE standard is the provision of high-speed data services. These services must be guaranteed under varying radio propagation conditions, to stochastically distributed mobile users.
Atayero, A. A., Luka, M. K.
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Electric vehicle battery model identification and state of charge estimation in real world driving cycles [PDF]
, 2015 This paper describes a study demonstrating a new method of state-of-charge (SoC) estimation for batteries in real-world electric vehicle applications. This method combines realtime model identification with an adaptive neuro-fuzzy inference system (ANFIS)
Auger, Daniel J. +2 more
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Estimation of pile settlement socketed to rock applying hybrid ALO-ANFIS and GOA-ANFIS approaches
Journal of Applied Science and Engineering, 2022 Pile settlement (SP) socketed to rock has received substantial attention. Despite introducing some design methods of SP prediction, considering the novel and practical predicting model with satisfactory performance is pivotal.
Dai Yu
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Performance Evaluation of ANFIS and GA-ANFIS for Predicting Stock Market Indices
International Journal of Economics and Finance, 2021 A model of Adaptive Neuro-Fuzzy Inference System (ANFIS) trained with an evolutionary algorithm, namely Genetic Algorithm (GA) is presented in this paper. Further, the model is tested on the NASDAQ stock market indices which is among the most widely followed indices in the United States.
Farnaz Ghashami, Kamyar Kamyar
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IEEE Access, 2020 In this paper, a new hybrid model is proposed using Subset Selection by Maximum Dissimilarity (SSMD) and adaptive neuro-fuzzy inference system (ANFIS) hybridized with the firefly algorithm (FFA) to predict the longitudinal dispersion coefficient (Kx ...
Hossien Riahi-Madvar +4 more
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