مشخصات مقاله | |
ترجمه عنوان مقاله | ارزیابی طرح برنامه ریزی منظره فضای سبز شهری براساس مدل شبکه عصبی PSO-BP |
عنوان انگلیسی مقاله | Evaluation of urban green space landscape planning scheme based on PSO-BP neural network model |
انتشار | مقاله سال 2022 |
تعداد صفحات مقاله انگلیسی | 13 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه الزویر |
نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
مقاله بیس | این مقاله بیس نمیباشد |
نمایه (index) | JCR – Master Journal List – Scopus – DOAJ – ISC |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
ایمپکت فاکتور(IF) |
4.384 در سال 2020 |
شاخص H_index | 58 در سال 2021 |
شاخص SJR | 0.584 در سال 2020 |
شناسه ISSN | 1110-0168 |
شاخص Quartile (چارک) | Q1 در سال 2020 |
فرضیه | ندارد |
مدل مفهومی | ندارد |
پرسشنامه | ندارد |
متغیر | ندارد |
رفرنس | دارد |
رشته های مرتبط | معماری، مهندسی کامپیوتر |
گرایش های مرتبط | تکنولوژی معماری، معماری منظر، هوش مصنوعی |
نوع ارائه مقاله |
ژورنال |
مجله | مجله مهندسی اسکندریه – Alexandria Engineering Journal |
دانشگاه | Qiqihar University, Qiqihar, China |
کلمات کلیدی | مدل شبکه عصبی PSO-BP، برنامه ریزی منظره فضای سبز شهری، شبکه عصبی BP، اکولوژی |
کلمات کلیدی انگلیسی | PSO-BP neural network model; Urban green space landscape planning; BP neural network; Ecology |
شناسه دیجیتال – doi |
https://doi.org/10.1016/j.aej.2021.12.057 |
کد محصول | E16132 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
Abstract Keywords 1. Introduction 2. Related work 3. Evaluation system of urban green space landscape planning based on PSO-BP neural network model 3.1. Application feasibility and evaluation index of neural network in urban green space landscape planning scheme evaluation 3.2. Network construction of urban green space landscape scheme evaluation system 3.3. Network optimization of urban green space landscape scheme evaluation system 4. Training results and simulation results of urban green space landscape scheme evaluation system 4.1. Training results of PSO-BP neural network system for urban green space landscape scheme evaluation 4.2. Evaluation and analysis of PSO-BP neural network system for urban green space landscape scheme evaluation 5. Conclusion Funding Statement Declaration of Competing Interest References |
بخشی از متن مقاله: |
Abstract The evaluation simulation of urban green space landscape planning scheme based on PSO-BP neural network model is carried out in this paper. PSO-BP neural network can combine the principle of landscape ecology, integrate more evaluation indicators of ecology and urban development into the urban green space landscape planning scheme, and simply understand and predict human behavior, so as to make a more comprehensive evaluation and prediction of the urban green space landscape planning scheme. It not only has superior memory storage and learning ability, but also can simply understand and predict human behavior, so that more influencing factors that cannot be added in the past can be considered in the scheme evaluation and analysis, and the evaluation of urban green space landscape planning scheme is more comprehensive, scientific and reasonable. Experiments show that PSO-BP neural network has smaller error and better generalization ability than BP neural network. PSO-BP neural network rating model can analyze its more reasonable proportion according to the relationship between different types of green space and indicators, and give corresponding adjustment suggestions, which has guiding significance for the modification and adjustment of urban green space landscape planning scheme. 1. Introduction With the continuous advancement of urbanization in China, more and more cities ignore the planning and development of urban landscape and the impact of urban green space landscape on the living standard and quality of urban residents, With the continuous improvement of China’s comprehensive strength and international status, the degree of urbanization in China has been greatly improved, and more and more urban construction is close to fashion cities. But at the same time, many cities ignore the planning and development of urban green space landscape and the impact of urban green space landscape on the living standards and quality of urban residents, resulting in the continuous reduction or even lack of urban green space landscape area, the simplification of urban landscape and the imbalance of ecological environment, Finally, it leads to the contradiction between the urban environment and the quality of life of urban residents [1], [2]. Urban green space landscape planning has also become an important part of urban planning and development, and is an issue of increasing concern to urban residents [3]. With the improvement of China’s economic level, the material life of urban residents has been basically met, the urban living environment has gradually become a problem of increasing concern to urban residents, and the urban green space landscape planning has also become an important part of urban planning and development [3]. |