Forecasting Cash Demand in ATM Using Neural Networks and Least Square Support Vector Machine - researchr publication authors

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Cristián Ramírez, Gonzalo Acuña. Forecasting Cash Demand in ATM Using Neural Networks and Least Square Support Vector Machine. In César San Martín, Sang-Woon Kim, editors, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, 2011. Proceedings. Volume 7042 of Lecture Notes in Computer Science, pages 515-522, Springer, 2011. [doi]

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