Optimization of Extreme Learning Machine Based on Improved Beetle Antennae Search for Slot Die Coating Prediction

H Yang, D Liu, JC Ren - 2023 35th Chinese Control and …, 2023 - ieeexplore.ieee.org
In the actual production of slot die coating, the minimum coating thickness and the maximum
substrate moving speed could only be judged by production experience, and there was no …

Highway Traffic State Estimation Based on Data Fusion in a Connected Vehicle Environment

X Yi, X Li, H Wang, H Zhou, S Zhong… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Traffic state estimation plays an important role in urban intelligent transportation
management. Compared to traditional traffic data collection means using fixed and mobile …

An improved pattern-based prediction model for a class of industrial processes

M Wang, Y Lu, W Pan - … of the Institute of Measurement and …, 2022 - journals.sagepub.com
For the problem of simplifying pattern-based modeling procedures, an improved pattern-
based modeling method is put forward via pattern classification for a class of complex …

VMD-HHO-DELM: Decomposition and Optimization Model with Based Deep Extreme Learning Machine Algorithm for Predicting Short-Term Traffic Flow

K Zhong, W Li, L Jin, Y Zhang - 2023 IEEE 5th International …, 2023 - ieeexplore.ieee.org
The traffic flow prediction solutions are crucial method to optimize transportation efficiency in
an urban management and intelligent transportation system (ITS). However, accurate …

Применение биоинспирированных алгоритмов глобальной оптимизации для повышения точности прогнозов компактных машин экстремального обучения

ЛА Демидова, АВ Горчаков - Russian Technological Journal, 2022 - rtj-mirea.ru
Аннотация Цели. В результате современных исследований в машинном обучении,
направленных на повышение точности и снижение вычислительной сложности …

Game Addiction Identification System: Automatic Labelling Severities Level and Classification in Junior High School Student

NH Wiryo Nuryono, IM Hambali, M Ramli - Journal for ReAttach Therapy …, 2023 - jrtdd.com
Introduction: Playing games at a reasonable time has a good effect on teenagers. Addiction
to online games with a high frequency causes children to be lazy to do other activities such …

An Ensemble Algorithm Combining Multi-models and Proposed Chaotic Harris Hawks Optimization for Fire Flame Recognition

J Wang, J Nan, Z Han - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
Fire recognition and early prevention are of great significance to reduce the loss caused by
fire. In this paper, an ensemble algorithm combining multi-models and proposed chaotic …

Hand Sign Recognition based on Myographic Methods and Random K-Tournament Grasshopper Extreme Learner

DIR Barioul - 2022 - monarch.qucosa.de
Abstract (DE) Die Handzeichenerkennung ist für verschiedene Anwendungen wichtig.
Myographische Methoden, wie die Oberflächen-Elektromyographie (sEMG), die Kraft …

Study on Optimal Control Strategy for Cooling, Heating and Power (CCHP) System

K Wu, J Wu, L Feng, B Yang, R Liang, S Yang, R Zhao… - 2020 - preprints.org
An optimal scheduling strategy for cooling, heating and power (CCHP) joint-power-supply
system is proposed to improve energy utilization and minimize costs in this paper. Firstly, the …

Research on traffic flow prediction method based on combination models

J Nie, W Xie, W Zhang - Fifth International Conference on …, 2023 - spiedigitallibrary.org
On the basis of current research on traffic flow prediction, the article proposes a traffic flow
prediction method based on the fusion of K-Means algorithm and GRU. This method first …