【摘要】 研究编制了伏牛山地区栓皮栎天然次生林地位指数表,以期为当地栓皮栎天然次生林后期的经营管理和保护工作奠定基础。根据伏牛山区调查的120块栓皮栎天然次生林标准地和180株平均优势木解析木数据,采用人工神经网络建模技术,建立了优势木平均高ANN模型,拟合精度为98.66%。基准年龄为40a,依据平均优势高与地位指数的关系,编制了地位指数表。用未参加建模的60块标准地数据进行落点检验,检验精度达到96.67%。结果表明,ANN模型构建地位指数模型方法简单,所建模型精度高,应用推广能力强。更多还原

【Abstract】 The paper designed the site index table for Quercus variabilis natural secondary forest in the Funiu Mountainous area in order to lay the foundation for the later management and protection of the forest.According to the survey data of 120 sample plots and the analytical data of 180 average dominant trees,and based on artificial neural network(ANN)modeling technique,the ANN model of the dominant tree average height was established.The fitting precision of the model was 98.66%.The ANN growth model of the dominant tree average height was selected as oriented curve,and the age of these trees was about 40 years.The site index table was established depending on the relationship of the dominant tree average height and the site index.The test precision was 96.67%through test of falling point with the data from 60 sample plots which were not used to build the growth model.The results indicated that it was simple to establish the site index model of ANN,which had promising precision and better application potential.更多还原