| 摘要 |
<p>PURPOSE:To predict the degree of air pollution for an arbitrary time by learning the relationship with time of the degree of air pollution and a status value having an effect on the degree of air pollution by using a recurrent type network. CONSTITUTION:The degree of air pollution in a tunnel and a status value having an effect on the degree of air pollution are measured in a value with time by using a VI-value measuring means 1, a passage-number measuring means 2 and an air-velocity measuring means 3, and stored previously in an experience storage means 4. A recurrent type network is used as a learning means 5, the value with time is learned to the learning network 6A until the error of a VI value is reduced sufficiently by employing the experience value, and the weight of the network is corrected. A predicting means 7 predicts the next VI value by using a predicting network 6B, to which learning is completed previously, and a VI predicting value 8 displaying the degree of air pollution is obtained.</p> |
