关键词: 小城镇, 耕地集约利用, 综合评价法, 人工神经网络

Abstract:

Intensive land use has not only become one of the important components of circular economy and economical society，but also the significant content in country land resource management. In order to improve cultivated land use level and establish scientific land planning, the indicator system for evaluation on the level of intensive cultivated land use was established based on the cultivated land use characteristics and land use data of twenty small towns in Cixi City. By using the general evaluation method and artificial neural network method and four evaluating grades, the conditions of intensive cultivated land use of small towns were evaluated. The results showed that (1) The indicator system for evaluation on the level of intensive cultivated land use included investment intensity, land use degree, land use efficiency and persistency of cultivated land. (2) As for the weights of evaluation indicators, fund was the most important indicator because it was an important token of intensive cultivated land use; on the other hand, grain yield stability index is of least importance in southward where climate conditions were rather well. (3) It can be concluded that there were clear regional differences in intensive land use of small towns in Cixi, and the level of intensive land use of most small towns were at the state of “better” or “general” intensive. (4) Both artificial neural network method and the general evaluation method can reflect the level of intensive land use well. However, artificial neural network do not need to define the evaluation weights of indictors by person, so it is a more effective approach than the general evaluation method comparatively

Key words: small town, intensive cultivated land use, general evaluation method, artificial neural network