The Research on the BP-Neural-Network-Based Pre-Warning System for the Sustainable Forestry Economic Development

Author:

Cui Wei1,Zhuo Xian De1,Hua Wei1

Affiliation:

1. Luzhou Vocational and Technical College

Abstract

The sustainable forestry economic development is a typical non-linear complex system, so traditional statistical methods are hard to be used for the pre-warning. This paper constructs the pre-warning index system for the sustainable forestry economic development, and then builds a pre-warning model for it by applying the BP artificial neural network technology. This model provides a technical means for the pre-warning analysis of the sustainable forestry economic development as well as the decision-making basis for the forestry economic management and planning.

Publisher

Trans Tech Publications, Ltd.

Reference6 articles.

1. Wang Yongqing. Study on Sustainable Development Capability Construction in State-owned Forestry Region[D]. Harbin: Northeast Forestry University. (2002).

2. YIN Hao, FANG Zi jie. Index System and Method of Sustainable Development Early Warning[J]. RESEARCH OF AGRICULTURAL M ODERNIZATION. 2000(11): 332-336.

3. Xue Wei. Research on Comprehensive Appraisement of Sustainable Development for Da Xing-gou Forestry Bureau[D]. Harbin: Northeast Forestry University. (2002).

4. Cao Bin, Lin Jian-yi, Cui Sheng-hui. Review on Assessment Index of Sustainable Development[J]. Environmental Science & Technology. 2010 vol. 33 No. 3: 99-105.

5. Wang Hanbin, Li Zhiduo. The Construction and Method of Mining Area Sustainable Development Early Warning Mechanism [J]. Journal of Industrial Technological Economics. 2011(04): 7-12.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Spatial and temporal evolution of forestry ecological security level in China;Environment, Development and Sustainability;2024-08-07

2. BP Neural Network Based Animation Production Prediction;Applied Mechanics and Materials;2014-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3