Abstract
In this work a temperature predictor has been designed. The prediction is made by an artificial neural network multilayer perceptron. Initially, the floating point algorithm was evaluated. Afterwards, the fixed point algorithm was designed on a Field Programmable Gate Array (FPGA). The architecture was fully parallelized and a maximum delay of 74 ns was obtained. The design tool used is System Generator of Xilinx. © 2011 Springer-Verlag.
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CITATION STYLE
Pérez, S. T., Vásquez, J. L., Travieso, C. M., & Alonso, J. B. (2011). Artificial neural network in FPGA for temperature prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7015 LNAI, pp. 104–110). https://doi.org/10.1007/978-3-642-25020-0_14
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