Optimization algorithms as training approaches for prediction of reference evapotranspiration using adaptive neuro fuzzy inference system

DK Roy, A Lal, KK Sarker, KK Saha, B Datta - Agricultural Water …, 2021 - Elsevier
… Another contribution of this work is the selection of best ANFIS model utilizing decision …
The historical daily weather data were obtained from an automatic weather station located in …

Intuitionistic neuro-fuzzy network with evolutionary adaptation

P Hájek, V Olej - Evolving Systems, 2017 - Springer
… intuitionistic neuro-fuzzy networks to adapt the antecedent and consequent parameters of
… regression datasets we show that the intuitionistic neuro-fuzzy network trained with particle …

New daily global solar irradiation estimation model based on automatic selection of input parameters using evolutionary artificial neural networks

M Marzouq, Z Bounoua, H El Fadili… - Journal of cleaner …, 2019 - Elsevier
… an automatic selection of ANN inputs from available parameters set for the estimation of
horizontal daily global solar irradiation in the city of Fez (Morocco). This selection is … selection, …

Neuroevolutionary based convolutional neural network with adaptive activation functions

R ZahediNasab, H Mohseni - Neurocomputing, 2020 - Elsevier
… In this paper, the evolutionary method is used to select the best values for some parameters
… of adaptive activation function, hyper-parameters used in these functions are initialized as α …

An adaptive neuro-fuzzy system with integrated feature selection and rule extraction for high-dimensional classification problems

G Xue, Q Chang, J Wang, K Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… which automatically determined the architecture of the network model during the feature
selection process… The system parameters are also initialized as we explained earlier. The λs are …

Artificial neural network and adaptive neuro fuzzy control of direct torque control of induction motor for speed and torque ripple control

VMV Rao, AA Kumar - … on Trends in Electronics and Informatics …, 2018 - ieeexplore.ieee.org
… An automatic control strategy is being generated using linguistic … • We selected the back
propagation or a mixture of back propagation and least squares using the FIS model parameter

New mixed-coding PSO algorithm for a self-adaptive and automatic learning of Mamdani fuzzy rules

MA Kacimi, O Guenounou, L Brikh, F Yahiaoui… - … Applications of Artificial …, 2020 - Elsevier
… learning process, completely automatic and not sensitive to the initialization. Against other …
tuning the MFs parameters and the second one is the changing of the selected conclusion for …

A novel adaptive neuro-control approach for permanent magnet synchronous motor speed control

Q Wang, H Yu, M Wang, X Qi - Energies, 2018 - mdpi.com
… First, a novel adaptive neuro-control approach, single … the PMSM and guides the selection
value of parameter K online. … the goals by adaptive and automatic construction of internal goal …

An adaptive neural network approach for operator functional state prediction using psychophysiological data

R Wang, Y Zhang, L Zhang - Integrated Computer-Aided …, 2016 - content.iospress.com
… The performance parameters of AUTOCAMS were recorded automatically per second. The
… blindness of parameter setting so that help to adaptively select not only the parameters F and …

An automated breast cancer diagnosis using feature selection and parameter optimization in ANN

S Punitha, F Al-Turjman, T Stephan - Computers & Electrical Engineering, 2021 - Elsevier
… The core objective of the proposed IAIS-ABC-CDS technique focuses on the implementation
of an automatic IAIS-ABC inspired feature selection and hidden node size optimization …