摘要：本文对照经典的矢量量化算法的不足,讨论了基于竞争机制的连续Hopfield神经网络矢量量化算法的设计与实现。详细描述了网络映射过程、网络能量函数的刻画和神经元状态转换方程。实验结果表明,与经典的LBG算法相比,本文所提算法具有更好的性能和强大的并行处理能力以及更优良的全局优化能力。

摘要：雅长林场是广西天然林和公益林面积最大的林场。为有效保护公益林并促进商品林高质量发展,采用2003~2020年广西国有雅长林场森林资源规划设计调查报告数据,对林业用地、森林面积、森林蓄积、森林覆盖率、森林生长量、森林消耗量等37项指标分析森林资源变化;采用层次分析法AHP (the Analytic Hierarchy Process)从森林起源、森林结构、森林产能、森林健康、森林价值等方面综合评价森林质量。结果表明,2003~2020年雅长林场林地及森林面积有所减少,森林质量有所提升并保持中等等级,筛选出制约森林质量提升关键评价指标。针对主要存在问题,提出了完善分类经营,优先保护公益林、加强森林防火和科学经营商品林等建议。Yachang is the largest forest farm in the natural forest and public welfare forest area in Guangxi. In order to protect the public welfare forest and promote high-quality development of the commercial forest in this farm, using the data of forest resource investigation of this farm from 2003 to 2020, woodland, forest area, forest stock volume, forest covering rate, forest growth, forest consumption were analyzed statistically. The forest resource quality was evaluated by AHP (the Analytic Hierarchy Process) according to the forest origin, forest structure, forest productivity, forest health and forest value. From 2003 to 2020, the forest area was reduced in large scale, the grades of the forest resource quality valuation were maintained in medium grade in this farm. The key indicators restricting forest quality were selected. In order to promote the forest quality in this farm, the important suggestions are as fellows: adhere to classified management, protecting public welfare forests, forest fire prevention and scientific management of commercial forest.