Search Results - (( intelligence based training algorithm ) OR ( intelligence value based algorithm ))
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Integration of dual intelligent algorithms in shunt active power filter
Published 2013“…This paper presents an integration of dual intelligent algorithms: artificial neural network (ANN) based fundamental component extraction algorithm and fuzzy logic based DC-link voltage self-charging algorithm (fuzzy self-charging algorithm), in a three-phase three-wire shunt active power filter (SAPF). …”
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Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks
Published 2015“…The efficacy of these models depends upon many factors such as, neural network architecture, type of training algorithm, input training and testing data set and initial values of synaptic weights. …”
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Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…The weights and biases generated through the training process is depended on the training algorithm, initial weights and biases for training and the dataset used in the process. …”
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Intelligent technique for grading tropical fruit using magnetic resonance imaging
Published 2013“…Levenberg-Marquardt algorithm (trainlm) gave the best performance fitness out of different types of backpropagation algorithm used with least Mean Square Error (MSE) of 0.0814 corresponding to R-value of 0.8094. …”
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Development of hybrid artificial intelligent based handover decision algorithm
Published 2017“…Hence, in this paper, the development of novel hybrid artificial intelligent handover decision algorithm has been developed. …”
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Detection Of Misplaced And Missing Regions In Image Using Neural Network
Published 2017“…This scenario can be bridged to circuit on the breadboard, which also has similar condition like having several components on the board. Based on research, most of the algorithms are not intelligent enough and only able to detect the missing component. …”
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Domestic garbage target detection based on improved YOLOv5 algorithm
Published 2023“…Experiments have proved that the accuracy of intelligent classification reached 98.27%, which is 3.85% higher than the original algorithm. …”
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Prediction of Optimum Cutting Conditions in Dry Turning Operations of S45C Mild Steel using AIS and PSO Intelligent Algorithm
Published 2014“…The suggested system is based on Particle Swarm Optimization (PSO) and Artificial Immune System (AIS) intelligent algorithms. …”
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A quick gbest guided artificial bee colony algorithm for stock market prices prediction
Published 2018“…Still, predicting an exact or near-to-exact trend of the Stock Market values behavior is an open problem. In this respect, in the present manuscript, we propose an algorithm based on ABC to minimize the error in the trend and actual values by using the hybrid technique based on neural network and artificial intelligence. …”
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iBUST: An intelligent behavioural trust model for securing industrial cyber-physical systems
Published 2024“…An aid to this is the association rule learning (ARL) paradigm, whose models are computationally inexpensive and do not require a long training time. Therefore, this paper proposes an ARL-based intelligent Behavioural Trust Model (iBUST) for securing the CPPS. …”
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An advanced scheme based on Artificial Intelligence technique for solving nonlinear Riccati systems
Published 2024“…A vectorization algorithm is designated for the selected step to make the computation process more efficient. …”
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…To classify image noise type, the CNN trained with Backpropagation (BP) algorithm and Stochastic Gradient Descent (SGD) optimization technique are implemented. …”
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A novel hybrid artificial intelligence technique for colpitts oscillator design
Published 2014“…In this paper, a new method of designing Colpitts oscillator using hybrid artificial intelligence comprising evolutionary-based Genetic Algorithm (GA) and artificial neural network (ANN) has been proposed. …”
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Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…The BayesNet provides the best integrated MLADR fault classifier model better at a 5 % significance level than other deployed algorithms in the intelligent supervised learning model realization. …”
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Forecasting Malaysian exchange rate artificial neural network : 2010-2018 / Ikhwan Muzammil Amran
Published 2018“…The training algorithm that applied is Quasi-Netwon based on the lowest recorded absolute training error. …”
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Forecasting Malaysian exchange rate using artificial neural network / Ikhwan Muzammil Amran and Anas Fathul Ariffin
Published 2020“…The training algorithm that applied is Quasi Netwon based on the lowest recorded absolute training error. …”
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Integrated geophysical, hydrogeochemical and artificial intelligence techniques for groundwater study in the Langat Basin, Malaysia / Mahmoud Khaki
Published 2014“…These results confirm that, for all the networks the Levenberg-Marquardt algorithm is the most effective algorithm to model the groundwater level. …”
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Analisis Data Untuk Rekabentuk Sistem Pintar Bagi Pengelas Corak Aliran Minyak-Gas
Published 2006“…The best trained MLP is chosen based on its “intelligence” in classifying unseen data correctly. …”
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