Search Results - subject:"Extreme Learning Machine"

Extreme learning with chemical reaction optimization for stock volatility prediction

Nayak, Sarat Chandra; Mishra, Bijan Bihari - In: Financial Innovation 6 (2020) 1, pp. 1-23

Extreme learning machine (ELM) allows for fast learning and better generalization performance than conventional …

Persistent link: https://www.econbiz.de/10012602852

Daily tourism forecasting through a novel method based on principal component analysis, grey wolf optimizer, and extreme learning machine

Zhang, Chuan; Hu, Ao-Yun; Tian, Yu-Xin - In: Journal of forecasting 42 (2023) 8, pp. 2121-2138

Persistent link: https://www.econbiz.de/10014432863

Green consumption behavior prediction based on fan-shaped search mechanism fruit fly algorithm optimized neural network

Li, Bo; Liao, Mengjie; Yuan, Junjing; Zhang, Jian - In: Journal of retailing and consumer services 75 (2023), pp. 1-12

Persistent link: https://www.econbiz.de/10014372532

A novel prediction model : ELM-ABC for annual GDP in the case of SCO countries

Xu, Xiaohan; Rogers, Roy Anthony; Estrada, Mario Arturo Ruiz - In: Computational economics 62 (2023) 4, pp. 1545-1566

Persistent link: https://www.econbiz.de/10014437500

Healthcare operations and black swan event for COVID-19 pandemic : a predictive analytics

Devarajan, Jinil Persis; Manimuthu, Arunmozhi; … - In: IEEE transactions on engineering management : EM 70 (2023) 9, pp. 3229-3243

Persistent link: https://www.econbiz.de/10014364887

A novel hybrid fine particulate matter (PM2.5) forecasting and its further application system : case studies in China

Du, Pei; Wang, Jianzhou; Yang, Wendong; Niu, Tong - In: Journal of forecasting 41 (2022) 1, pp. 64-85

Persistent link: https://www.econbiz.de/10012796269

Forecasting carbon futures price : a hybrid method incorporating fuzzy entropy and extreme learning machine

Chen, Peng; Vivian, Andrew; Ye, Cheng - In: Financial modeling and risk management of energy and …, (pp. 559-601). 2022

Persistent link: https://www.econbiz.de/10013350137

Prediction of cold chain logistics temperature using a novel hybrid model based on the mayfly algorithm and extreme learning machine

Lim, Ming Kim; Li, Yan; Wang, Chao; Tseng, Minglang - In: Industrial Management & Data Systems 122 (2022) 3, pp. 819-840

conditioner status (air speed and air temperature) based on hybrid mayfly algorithm (MA) and extreme learning machine (ELM). To … prove the effectiveness of the proposed method, the mayfly algorithm–extreme learning machine (MA-ELM) is compared with the …

Persistent link: https://www.econbiz.de/10014826252

Extreme wavelet fast learning machine for evaluation of the default profile on financial transactions

Souza, Paulo Vitor de Campos; Torres, Luiz Carlos Bambirra - In: Computational economics 57 (2021) 4, pp. 1263-1285

Persistent link: https://www.econbiz.de/10012543297

Risk early warning research on China's futures company

Ping, Wang; Wang, Feng; Wang, Aihua; Huang, Yuncheng - In: Emerging markets, finance & trade : a journal of the … 57 (2021) 8, pp. 2259-2270

Persistent link: https://www.econbiz.de/10012549890