Greenhouse Indoor Temperature Prediction Based on Extreme Learning Machines for Resource-Constrained Control Devices Implementation

A. Paniagua-Tineo, Sancho Salcedo-Sanz, Emilio G. Ortíz-García, Antonio Portilla-Figueras, B. Saavedra-Moreno, G. López-Díaz. Greenhouse Indoor Temperature Prediction Based on Extreme Learning Machines for Resource-Constrained Control Devices Implementation. In Javier Bajo Pérez, Juan M. Corchado, María N. Moreno García, Vicente Julián, Philippe Mathieu, Joaquín Cañada Bago, Alfonso Ortega, Antonio Fernández-Caballero, editors, Highlights in Practical Applications of Agents and Multiagent Systems - 9th International Conference on Practical Applications of Agents and Multiagent Systems, PAAMS 2011 Special Sessions, Salamanca, Spain, 6-8 April 2011. Volume 89 of Advances in Soft Computing, pages 203-211, Springer, 2011. [doi]

Abstract

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