Search Results - subject:"Learning machines"

An application of learning machines to sales forecasting under promotions

Di Pillo, Gianni; Latorre, Vittorio; Lucidi, Stefano; … - Dipartimento di Ingegneria Informatica, Automatica e … - 2013

behaviors of the sales process. In the last years new methods based on Learning Machines are being employed for forecasting … a comparison with the statistical methods, making reference to two real world cases. The learning machines have been …

Persistent link: https://www.econbiz.de/10010907449

Single-hidden layer neural networks for forecasting intermittent demand

Lolli, Francesco; Gamberini, R.; Regattieri, A.; … - In: International journal of production economics 183 (2017), pp. 116-128

Persistent link: https://www.econbiz.de/10011640985

Fleet asset capacity analysis and revenue management optimization using advanced prescriptive analytics

Hupfeld, Daniela; Maccioni, Raffaele; Sesemann, Roald; … - In: Journal of revenue and pricing management 15 (2016) 6, pp. 516-522

Persistent link: https://www.econbiz.de/10011662145

Path Loss Prediction in Urban Environment Using Learning Machines and Dimensionality Reduction Techniques

Piacentini, Mauro; Rinaldi, Francesco - Dipartimento di Ingegneria Informatica, Automatica e … - 2009

learning machines and dimensionality reduction techniques. We report results on a real dataset showing the efficiency of the …

Persistent link: https://www.econbiz.de/10010597748

A Coral Reefs Optimization algorithm with Harmony Search operators for accurate wind speed prediction

Salcedo-Sanz, S.; Pastor-Sánchez, A.; Del Ser, J.; … - In: Renewable Energy 75 (2015) C, pp. 93-101

This paper introduces a new hybrid bio-inspired solver which combines elements from the recently proposed Coral Reefs Optimization (CRO) algorithm with operators from the Harmony Search (HS) approach, which gives rise to the coined CRO-HS optimization technique. Specifically, this novel...

Persistent link: https://www.econbiz.de/10011116498

Testing for Neglected Nonlinearity Using Extreme Learning Machines (published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 21, Suppl. 2 (2013),...

SHIN, KYU LEE; CHO, JIN SEO - Economic Research Institute, College of Business and … - 2013

In this study, we introduce statistics for testing neglected nonlinearity using the extreme leaning machines introduced by Huang, Zhu, and Siew (2006, Neurocomputing) and call them ELMNN tests. The ELMNN tests are very convenient and can be widely applied because they are obtained as byproducts...

Persistent link: https://www.econbiz.de/10011191573

Path loss prediction in urban environment using learning machines and dimensionality reduction techniques

Piacentini, M.; Rinaldi, F. - In: Computational Management Science 8 (2011) 4, pp. 371-385

Persistent link: https://www.econbiz.de/10009324512

Analytic center of spherical shells and its application to analytic center machine

Raupp, Fernanda; Svaiter, B. - In: Computational Optimization and Applications 43 (2009) 3, pp. 329-352

Persistent link: https://www.econbiz.de/10005004384

Application of Dynamic Models and an Support Vector Machine to Inflation Modelling

Marček, Dušan; Marček, Milan - In: Bulletin of the Czech Econometric Society 13 (2006)

In Support Vector Machines (SVM's), a non-linear model is estimated based on solving a Quadratic Programming (QP) problem. Based on work [1] we investigate the quantifying of econometric structural model parameters of inflation in Slovak economics. Dynamic and SYM's modelling approaches are used...

Persistent link: https://www.econbiz.de/10008528796