@conference {10.1007/978-3-319-40111-9_5,
	title = {Web Browser-Based Forecasting of Economic Time-Series},
	booktitle = {Decision Economics, In Commemoration of the Birth Centennial of Herbert A. Simon 1916-2016 (Nobel Prize in Economics 1978)},
	year = {2016},
	pages = {35{\textendash}42},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {This paper presents the implementation of a time series forecasting algorithm, jsEvRBF, that uses genetic algorithm and neural nets in a way that can be run in must modern web browsers. Using browsers to run forecasting algorithms is a challenge, since language support and performance varies across implementations of the JavaScript virtual machine and vendor. However, their use will provide a boost in the number of platforms available for scientists. jsEvRBF is written in JavaScript, so that it can be easily delivered to and executed by any device containing a web-browser just accessing an URL. The experiments show the results yielded by the algorithm over a data set related to currencies exchange. Best results achieved can be effectively compared against previous results in literature, though robustness of the new algorithm has to be improved.},
	isbn = {978-3-319-40111-9},
	author = {Rivas, V. M. and E. Parras-Guti{\'e}rrez and Merelo, J. J. and Arenas, M. G. and Garc{\'\i}a-Fern{\'a}ndez, P.},
	editor = {Bucciarelli, Edgardo and Silvestri, Marcello and Rodr{\'\i}guez Gonz{\'a}lez, Sara}
}
