A feature based neural network model for weather forecasting

  • Paras S
  • Kumar A
  • Chandra M
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Abstract

TOPIC: NN model to weather forecasting TOOL: NN . PREDICTION GOAL: tmax, tmin and relative humidity INPUT: features extracted in different periods as well as from the weather parameter time-series itself from a particular station. NN ARCH: FF + BP. RESULTS: very encouraging (can make predictions with high degree of accuracy). EXTRA: can be adapted for larger geographical areas.

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APA

Paras, S., Kumar, A., & Chandra, M. (2007). A feature based neural network model for weather forecasting. World Academy of Science, Engineering …, 4(3), 209–216. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.120.9362&rep=rep1&type=pdf

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