In detail, we aim to investigate how a sequential learning algorithm can be viewed as a feedback control system. Based on the control perspective, we will also demonstrate how to apply control theory to the analysis of a machine learning algorithm. ELM, which stands for Extreme Learning ...
The sequential learning phase is then commenced where RLS algorithm is utilized to modify the output weights in a recursive way61. The output weights in OSELM are recursively updated based on the intermediate results in the last iteration and the newly arrived data, which is deleted immediately o...
An Improved On-Line Sequential Learning Algorithm for Extreme Learning Machine 热度: A Fast and Accurate Online Sequential Learning Algorithm for ... 热度: The flexibility in online learning:在线学习的灵活性 热度: 相关推荐 ANeuromorphicCategorizationSystemwith OnlineSequentialExtremeLearning Ruoxi...
Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines 论文研读,程序员大本营,技术文章内容聚合第一站。
Throughput prediction of fifth-generation cellular system using hybrid feature selection and enhanced sequential decision tree machine learning algorithm. Wireless Netw 31, 3025–3042 (2025). https://doi.org/10.1007/s11276-025-03917-3 Download citation Accepted21 January 2025 Published25 February 2025 ...
Fitzpatrick, M.J. & J.J.Grefenstette (1988). Genetic algorithms in noisy environments,Machine Learning,3, 101–120. Google Scholar Fujiki, C. & Dickinson, J. (1987). Using the genetic algorithm to generate LISP source code to solve the prisoner's dilemma.Proceedings of the Second Internatio...
Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine with Drift Detector Mechanism (Meta-RKOS-ELMALD). Recurrent multi-step algorithm is applied to release the limitation in the number of prediction steps, and Drift Detector Mechanism (DDM) is used to overcome the problem of ...
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Moreover, the artificial neural network (ANN) architecture is selected as a structure and the number of layers in combination with the hidden neurons per layer is defined by an offline optimization phase based on the genetic algorithm (GA) technique for each joint. The ANN is implemented with ...
The book includes not only systematic and thorough explanations of theoretical basics but also methodical guidance of practical algorithm implementations. The book intends to provide a comprehensive coverage of both classic theories and recent achievements, and the content is carefully and logically ...