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Feasibility Study On Application Of Artificial Neural Network In Plant Arrangement

Posted on:2018-06-08Degree:MasterType:Thesis
Country:ChinaCandidate:W J LinFull Text:PDF
GTID:2348330566454823Subject:Landscape architecture
Abstract/Summary:PDF Full Text Request
With the development of science and technology,after artificial neural network breakthrough,artificial intelligence machine learning has become a popular research direction,many traditional industries want to use artificial intelligence technology to replace the traditional human work,to achieve the industry ceiling.The break.Landscape design After decades of digital development,not only accumulated a large number of digital achievements in the production technology level has also been innovative methods and strategies,but the traditional plant configuration design links to a large extent still limited to the landscape The designer's personal knowledge,experience and proficiency in the production of relevant software,and the reuse rate of historical data is very low,so the design of scientific rationality and efficiency there is a large room for improvement.Artificial neural network technology has the ability to learn and deal with massive data,suitable for solving complex,non-linear problems,has been used in finance,transportation,medical,military and many other industries,theoretically can also be applied to the landscape industry.In this paper,through the study of the structure,characteristics and operating principle of artificial neural network,combined with the process and method of landscape plant configuration design and its complex characteristics influenced by various environmental factors in open environment,it is assumed that a set of top-Parameters,environmental impact factors,plant allocation methods,green landscape effect evaluation system and other dimensions of the combination of the application model.By examining the relevant literature,studying similar cases and practicing the key steps of the model,the feasibility of artificial neural network application in plant planting design is judged.It is concluded that the two are highly coupled and highly viable.Finally,this paper also discusses the optimization design of future design generation system based on the development trend of artificial intelligence and the current cutting-edge technology case,and gives the designer's coping strategies in the future artificial intelligence era.
Keywords/Search Tags:Artificial Neural Network, Machine Learning, Self-generating System, Plant Arrangement
PDF Full Text Request
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