Suchergebnisse - algorithm for adaptive learning process

Algorithm for adaptive learning process and improving learners’ skills in Java programming language von Gavrilović, Nebojša, Arsić, Aleksandra, Domazet, Dragan, Mishra, Alok

“… This paper presents an algorithm for creating an adaptive learning process that provides knowledge and skills improvement for learners in the Java programming language …”
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A Comparative Analysis of Machine Learning Algorithms in Design Process of Adaptive Traffic Signal Control System von Savithramma, R M, Sumathi, R, Sudhira, H S

“… In recent decades machine learning technology has proved its efficiency in most sectors by making human life easier …”
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NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems von Zhang, Jun, Glezakou, Vassiliki-Alexandra, Rousseau, Roger, Nguyen, Manh-Thuong

“… The method is based on an updated artificial bee colony (ABC) algorithm method, that allows for adaptive-learning during the search process …”
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Adaptive fabrication of material extrusion-AM process using machine learning algorithms for print process optimization von Sridhar, S., Venkatesh, K., Revathy, G., Venkatesan, M., Venkatraman, R.

“… Machine learning (ML) models and a multidisciplinary evolution algorithm were used to predict and optimize the fused deposition process parameters …”
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Optimization of the p-xylene oxidation process by a multi-objective differential evolution algorithm with adaptive parameters co-derived with the population-based incremental learning algorithm von Guo, Zhan, Yan, Xuefeng

“… A multi-objective differential evolution (MODE) algorithm co-evolved with the population-based incremental learning (PBIL …”
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Barzilai–Borwein-based adaptive learning rate for deep learning von Liang, Jinxiu, Xu, Yong, Bao, Chenglong, Quan, Yuhui, Ji, Hui

“… As manually setting right learning rate remains a cumbersome process, adaptive learning rate algorithms aim at automating such a process …”
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Semi-supervised learning based on temporal-spatial adaptive algorithm and its recognition mechanism for carbonate ester production process monitoring von Li, Yao, Ge, Xiaolong, Liu, Botan

“… By fully utilizing dynamic process data, establishing deep learning-based model has become mainstream method for realizing fault diagnosis, thus ensuring secure operation and achieving intelligent …”
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Optimal PID Controller Autotuning Design for MIMO Nonlinear Systems Based on the Adaptive SLP Algorithm von Pongfai, Jirapun, Angeli, Chrissanthi, Shi, Peng, Su, Xiaojie, Assawinchaichote, Wudhichai

“… In this paper, an adaptive swarm learning process (SLP) algorithm for designing the optimal proportional integral and derivative (PID …”
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A self-adaptive deep learning algorithm for accelerating multi-component flash calculation von Zhang, Tao, Li, Yu, Li, Yiteng, Sun, Shuyu, Gao, Xin

“… In this paper, the first self-adaptive deep learning algorithm is proposed in details to accelerate flash calculations, which can quantitatively predict the total number of phases in the mixture …”
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Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling von Lee, Juseong, Mitici, Mihaela

“… To explore this design space, we propose an adaptive algorithm using Gaussian process learning and a novel adaptive sampling method …”
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Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for the prediction of skin temperature in lower limb prostheses von Mathur, Neha, Glesk, Ivan, Buis, Arjan

“… •Adaptive neuro fuzzy inference strategy (ANFIS) implemented for prediction.•Results from ANFIS are compared with those obtained from Gaussian processes for algorithm.•Errors …”
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Path planning algorithm based on adaptive model predictive control and learning-based parameter identification approach for incremental forming processes for product precision improvements von He, An, Wang, Chenhao, Liu, Sheng, Meehan, Paul A.

“… , which prevented the widespread application of ISF. To solve this long-lasting problem, more powerful and generic path planning algorithm needs to be proposed for the ISF process …”
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Denoising method for terahertz signal using RBF neural network with adaptive projection learning algorithm von Wang, Qiang, ZHOU, Hongbin, Liu, Qiuhan

“… algorithm to process the image. The proposed method extracts the edge image and non-edge image of the terahertz pulse via an adaptive projection learning algorithm using the RBF neural network to denoise the non-edge images …”
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RVFLN-based online adaptive semi-supervised learning algorithm with application to product quality estimation of industrial processes von Dai, Wei, Hu, Jin-cheng, Cheng, Yu-hu, Wang, Xue-song, Chai, Tian-you

“… According to this characteristic, this paper proposes an online adaptive semi-supervised learning algorithm based on random vector functional link network (RVFLN …”
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Adaptive network-based fuzzy inference system for prediction of surface roughness in end milling process using hybrid Taguchi-genetic learning algorithm von Ho, Wen-Hsien, Tsai, Jinn-Tsong, Lin, Bor-Tsuen, Chou, Jyh-Horng

“… In this paper, an adaptive network-based fuzzy inference system (ANFIS) with the genetic learning algorithm is used to predict the workpiece surface roughness for the end milling process …”
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A Novel Adaptive Resource Allocation Model Based on SMDP and Reinforcement Learning Algorithm in Vehicular Cloud System von Liang, Hongbin, Zhang, Xiaohui, Zhang, Jin, Li, Qizhen, Zhou, Shuya, Zhao, Lian

“… ) and Reinforcement Learning (RL) algorithm in vehicular cloud system. The issue of adaptive resource allocation for vehicular request is formed as an SMDP in order to gain the dynamics of vehicular requests' arrival and departure …”
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Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes

“… , hybrid models with optimization algorithms, adaptive learning algorithms, intelligent process monitoring, real-time data monitoring and analysis, soft sensing technologies, operation mode perception …”
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Adaptive Weighting Based Metal Artifact Reduction in CT Images von Wang, Hong, Wu, Yichen, Wang, Yongbo, Wei, Dong, Wu, Xian, Ma, Jianhua, Zheng, Yefeng

“… Against the metal artifact reduction (MAR) task in computed tomography (CT) imaging, most of the existing deep-learning-based approaches generally select a single Hounsfield unit (HU …”
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An empowered AdaBoost algorithm implementation: A COVID-19 dataset study von Sevinç, Ender

“… •We propose a new AdaBoost algorithm for the classification of Covid-19 patients …”
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Computational ghost imaging via adaptive deep dictionary learning von Zhai, Xiang, Cheng, Zhengdong, Liang, Zhenyu, Chen, Yi, Hu, Yangdi, Wei, Yuan

“… In this paper, the total variation minimization algorithm via adaptive deep dictionary learning (TVADDL …”
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