Search Results - subject:"Multilayer Perceptron"

Electricity demand forecasting using fuzzy hybrid intelligence-based seasonal models

Khashei, Mehdi; Chahkoutahi, Fatemeh - In: Journal of modelling in management 17 (2022) 1, pp. 154-176

Persistent link: https://www.econbiz.de/10012886288

Expected shortfall model based on a neural network

Doncic, Sanja; Pantic, Nemanja; Lakićević, Marija - In: The journal of risk model validation 16 (2022) 2, pp. 63-83

Persistent link: https://www.econbiz.de/10014540573

A control chart pattern recognition methodology for controlling information technology-enabled service (ITeS) process customer complaints

John, Boby - In: The international journal of productivity and … 71 (2022) 8, pp. 3826-3848

Persistent link: https://www.econbiz.de/10014307122

Configuring products with natural language : a simple yet effective approach based on text embeddings and multilayer perceptron

Wang, Yue; Li, Xiang; Zhang, Linda L.; Mo, Daniel - In: International journal of production research 60 (2022) 17, pp. 5394-5406

Persistent link: https://www.econbiz.de/10013500721

A comparative analysis of data mining techniques for prediction of postprandial blood glucose: A cohort study

Chang, Huan-Cheng; Chang, Pin-Hsiang; Tseng, Sung-Chin; … - In: International Journal of Management, Economics and … 7 (2018) Special Issue, pp. 132-141

datamining techniques: random forest (RF), support vector machine (SVM), C5.0, multilayer perceptron (MLP), and logistic …

Persistent link: https://www.econbiz.de/10011815443

Estimating stock closing indices using a GA-weighted condensed polynomial neural network

Nayak, Sarat Chandra; Misra, Bijan Bihari - In: Financial Innovation 4 (2018) 1, pp. 1-22

Accurate forecasting of changes in stock market indices can provide financial managers and individual investors with strategically valuable information. However, predicting the closing prices of stock indices remains a challenging task because stock price movements are characterized by high...

Persistent link: https://www.econbiz.de/10012602787

Estimating stock closing indices using a GA-weighted condensed polynomial neural network

Nayak, Sarat Chandra; Misra, Bijan Bihari - In: Financial innovation : FIN 4 (2018) 21, pp. 1-22

Persistent link: https://www.econbiz.de/10011921960

A comparative analysis of data mining techniques for prediction of postprandial blood glucose : a cohort study

Chang, Huan-Cheng; Chang, Pin-Hsiang; Tseng, Sung-Chin; … - In: International journal of management, economics and … 7 (2018), pp. 132-141

datamining techniques: random forest (RF), support vector machine (SVM), C5.0, multilayer perceptron (MLP), and logistic …

Persistent link: https://www.econbiz.de/10011811958

Flamenco experience in Córdoba, Spain: estimating tourist profiles by multilayer perceptron's artificial neural networks

García-García, Lucía; Solano-Sanchez, Miguel Ángel; … - In: Journal of Cultural Heritage Management and Sustainable … 13 (2021) 4, pp. 609-624

experiences. Design/methodology/approach The methodology used (multilayer perceptron) is based on the development of an artificial …

Persistent link: https://www.econbiz.de/10014847936

Artificial neural network models for airport capacity prediction

Choi, Sun; Kim, Young Jin - In: Journal of air transport management 97 (2021), pp. 1-10

Persistent link: https://www.econbiz.de/10013041144