ant colony optimizationlearning preferencesforward learning pathWith the advancement in technology, the approach to learning has also been modified. "Standardization" and "One-size-fits-all" has become an outdated concept. To adjust to the changing learning approaches, e-learning came into being, ...
Biomedical Image Edge Detection using an Ant Colony Optimization Based on Artificial Neural Networks Ant colony optimization (ACO) is the algorithm that has inspired from natural behavior of ants life, which the ants leaved pheromone to search food on the ... J Rahebi,HR Tajik - 《International...
2017—2022年间比2011-2016年间新增的研究热点有大数据(Big Data)、混合推荐(Hybrid Recommendation)、神经网络(Neural Network)、人工智能(Artificial Intelligence)、在线学习(Online Learning)、冷启动(Cold Start)、深度学习(Deep Learning)...
2017—2022年间比2011-2016年间新增的研究热点有大数据(Big Data)、混合推荐(Hybrid Recommendation)、神经网络(Neural Network)、人工智能(Artificial Intelligence)、在线学习(Online Learning)、冷启动(Cold Start)、深度学习(Deep Learning)、学习分析(Learning Analytics)、知识图(Knowledge Graph)、机器学习(Machine Le...
Liu, "A Hybrid Method for Learning Bayesian Networks based on Ant Colony Optimization," Applied Soft Com- puting, vol. 11, pp. 3373-3384, 2010.JI J Z,HU R B,ZhANG H X,et al. A hybrid method for learning Bayesian networks based on ant colony optimization [J]. Applied Soft Computing...
Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning 2023, IEEE Transactions on Industrial Informatics A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling 2021, Complex System Modeling and Simulation View all citing articles on ScopusVi...
On extracting recommendation knowledge for personalized web-based learning based on ant colony optimization with segmented-goal and meta-control strategies. Expert Syst. Appl. 2012, 39, 6446–6453. [Google Scholar] [CrossRef] Jahanshahloo, G.R.; Hosseinzadeh Lotfi, F.; Izadikhah, M. Extension...
A multi-objective Q-learning-based brain storm optimization (MQBSO) is designed to handle the addressed problem. In MQBSO, a double-string representation approach is used to denote a solution, and a random method is employed to initialize the population. In the clustering phase, a dynamic clus...
eaopt - An evolutionary optimization library. leaves - A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM. gobrain - Neural Networks written in Go. go-featureprocessing - Fast and convenient feature processing for low latency machine learning in Go. go-mxnet...
Ant colony optimization (ACO) algorithm Dorigo and Di Caro49presented the ACO feature selection procedure, which has been widely used in different applications50,51,52,53. This study utilized the ACO technique to determine the least possible distance between wheat yield (W) of the training station...