Evaluation And Analysis On Planning Of Urban Green Space System Based On ANN

Along with the rapid development of urban construction and the improvement of the quality of environment, the importance of urban green space system planning is rationality and also its inevitable is questioned. The starting point of the study is to find a scientific evaluation method to verify whether the rationality still exists, and make the corresponding countermeasures.With the rapid development of urban construction, green space planning is bound to be out of place, especially in the inevitable to face the new town with the old town planning to switch roles of the city of green areas. Whether the new green system will be good for the city of green layout and the history tradition, whether the existing system of land planning policies in many of the new town development is still applicable? The answer is the paper's introduce of ANN of land planning and evaluation. As a method of AI, ANN may, by the planning data study, study and formulate urban area's track and development trends, also provide an important basis of adjusting the green system planning.First, through the domestic and foreign literature, the paper studied the urban green space system planning and ANN method and summarized the urban green space system planning of the rational development trend. Tend of Future planning is to improve its scientific by the quantitative analysis, and exactly, ANN is such a kind of new method.Secondly, the paper made further analysis of the principle of ANN and explained the basic structure of artificial neural network and main characteristics. Then, it verified the high degree coupling of urban green space system planning and the ANN. Also, ANN, through it learning ability, can be good to simulate the relationship of urban green space landscape pattern and its structures by using landscape ecology theory. It is high feasibility to analysis urban green space system planning by ANN method.Furthermore, the paper chose an network-BP from ANN, which is suitable to analysis green space system planning. Then, explained the base of network design and built green space system planning further evaluation system according to the working flow of BP network.Finally, with the Wanzhou Chongqing Jiang Nan area green space system planning as the main analysis object, the paper used the following 3 steps, through ANN method, to verify the typical example research:Step 1, the paper, according to the urban development process and the thorough analysis of urban green space system planning in the green space system based on the characteristics of representative research area, divided urban area into 3 development level:the old town center, immigration and future of new city center, which represented " past, present and future ". Then, it analyzed the rationality of JiangNan area green space system planning through the immigration city green to undertake ANN model.Step 2, according to the characteristics of Wan Zhou green system, the paper, from the viewpoint of ecology, chose six kinds of green area ratio (such as ecology green, protective green, Comprehensive park and so on) as the input layer and four landscape index (such as PD, PARA, CONTAG and so on) as the output layer of ANN, then constructed planning, evaluation network.Step 3, Based on optimal landscape index, the paper, using the constructed ANN by the analysis of JiangnAn area, gained the conclusion of the optimal proportion of theoretical respectively that ecological green,community park, comprehensive park, roadside green space, protective green and greenbelt were 0 or 100%,9-30%,18%,11%, 16%and 28%respectively, also gives the best proportion and the most unreasonable ratio value; combined with ANN, draw the planning green conclusion that PD and PARA were high and the CONTAG and SHDI were reasonable; furthermore, according to various green's influence to each landscape index, made an prediction of the development trend of the urban construction that the ecological green,community park, roadside green space and comprehensive park will be the focus in the further.