2021 Volume 36 Pages 42-46
The study by Numajiri  well reproduced the seasonal variation of river runoff by a monthly basin water balance model using a distributed tank model. The search for the optimal parameters is important for the construction of this distributed tank model. However, the method is not easy. When Sugawara  invented the tank model, Sugawara gave up the automatic search for the optimum parameters, citing one of the reasons that the computing power of the computer takes time. Numajiri  attempted automatic optimization by the conditional brute force attack method using a personal computer with improved performance. The purpose of this study is to improve the efficiency of optimal parameter exploration by using a machine learning library.