Neural network-based prediction model of ozone for Mexico City
Por:
Ruiz-Suarez J.C., Mayora O.A., Smith-Perez R., Ruiz-Suarez L.G.
Publicada:
1 ene 1994
Resumen:
This paper describes current work for developing a short-term forecasting model for ozone in Mexico City. The structure of the model is based on a recently created paradigm, the Holographic Associative Memory (HAM). The HAM is able to store a large amount of daily patterns and address any of them in a efficient way. Preliminary results of ozone forecasting are reported and some important conclusions are drawn.
Filiaciones:
Ruiz-Suarez J.C.:
Instituto Tecnologico y de Estudios, Superiores de Monterrey, Morelos, Mexico
Mayora O.A.:
Instituto Tecnologico y de Estudios, Superiores de Monterrey, Morelos, Mexico
Smith-Perez R.:
Instituto Tecnologico y de Estudios, Superiores de Monterrey, Morelos, Mexico
Ruiz-Suarez L.G.:
Instituto Tecnologico y de Estudios, Superiores de Monterrey, Morelos, Mexico
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