Modern Intelligent Rural Landscape Design Based on Particle Swarm Optimization

计算机科学 粒子群优化 元启发式 多群优化 群体行为 数学优化 人工智能 算法 数学
作者
Feng Qin
出处
期刊:Wireless Communications and Mobile Computing [Wiley]
卷期号:2022: 1-9 被引量:1
标识
DOI:10.1155/2022/8246368
摘要

With the gradual maturity of the development of scientific and technological modernization, China’s economic level has risen rapidly, and people’s living conditions have been further improved. Emerging technologies such as artificial intelligence, Internet of things, and big data have brought new opportunities for China’s urban construction and landscape design. Facing the development of modern science and technology, the application of landscape design in rural construction has become the main research object. In this paper, particle swarm optimization algorithm is used to study the modernization of rural landscape design. Starting with intelligent technology, particle swarm optimization algorithm is used to improve the traditional model of rural landscape design. Firstly, the control range of rural landscape lighting system is divided into regions, the user needs are processed, and the intelligent system of landscape lamps is further adjusted. It improves the problems of energy conservation and environmental protection in rural landscape design. Finally, based on the particle swarm optimization neural network supervision algorithm, the rural planning land is allocated intelligently. The intelligent design of sprinkler irrigation equipment in landscape architecture can adjust the sprinkler area and range according to the growth period of crops and achieve the purpose of real-time monitoring.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
今明源之昨后完成签到,获得积分10
刚刚
七听的应助被尊敬伟宸采纳,获得50
刚刚
刚刚
崔东发布了新的文献求助10
1秒前
1秒前
1秒前
无花果的应助被huoyawei采纳,获得10
1秒前
英俊的铭的应助被郭航采纳,获得10
1秒前
蒋大昆发布了新的文献求助10
1秒前
蒋大昆发布了新的文献求助30
1秒前
田様的应助被金榜题名采纳,获得10
1秒前
04d的应助被苹果淇采纳,获得10
1秒前
drliu完成签到,获得积分20
1秒前
蒋大昆发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
蒋大昆发布了新的文献求助10
2秒前
2秒前
LKT完成签到,获得积分10
2秒前
2秒前
Lumen发布了新的文献求助30
3秒前
疯狂的八宝粥完成签到 ,获得积分10
3秒前
柔弱凡英发布了新的文献求助10
3秒前
3秒前
JIALING完成签到,获得积分10
3秒前
3秒前
CROWN完成签到,获得积分10
3秒前
师震铎发布了新的文献求助10
3秒前
4秒前
syy完成签到 ,获得积分10
4秒前
蒋大昆发布了新的文献求助10
4秒前
Demons发布了新的文献求助10
4秒前
蒋大昆发布了新的文献求助10
5秒前
苗条鱼完成签到,获得积分10
5秒前
LRR完成签到 ,获得积分10
5秒前
molihuakai的应助被唏哩嘣吧啦采纳,获得10
6秒前
fangjie发布了新的文献求助10
6秒前
6秒前
喜洋羊发布了新的文献求助10
6秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Stochastic Models in Operations Research,Vol. 2 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
Stell & Maran's Head and Neck Surgery and Oncology 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8028817
求助须知:如何正确求助?哪些是违规求助? 9469195
关于积分的说明 21235558
捐赠科研通 7599198
什么是DOI,文献DOI怎么找? 3388240
关于科研通互助平台的介绍 2520595
邀请新用户注册赠送积分活动 2424785