Author(s)

A. Pelliccioni & E. Pessa

Abstract

Methodological considerations on use of perception model to forecast CO and N(>2 concentrations in urban area. A. Pelliccioni*, E. Pessa 1. Italian Institute for Occupational Safety and Health (ISPESL)- Environmental Department, Via Urbana- 167, 00184 Rome, Italy. Email: parmando@rdn.it 2. ECONA- Interuniversity Research Center. c/o. Dipartimento di Psicologia Universita di Roma "La Abstract A 3 -layer Perception Neural Network (NN) with Error Backpropagation (EBP) learning rule has been used to forecast the concentration levels of CO and NO] in the urban center of Rome. A comparison was made between forecasting performances corresponding to different training sets and to different activation functions. A first set of simulations has been designed to forecast CO levels using data taken 1 hour before. A second set of simulations has been done to forecast the NO] levels using data taken 12/24 hours before. The NN's performance so far observed appears to be very good, mainly if

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