Abstract
In order to improve the accuracy and efficiency of performance evaluation, the interactive application of virtual reality and intelligent big data in landscape design is proposed. Clara algorithm is used to mine the performance evaluation index data of landscape simulation design. The performance evaluation index system of landscape simulation system is established based on the data mined. BP network is used to build a comprehensive evaluation model. The expert scoring method is the evaluation index system scoring, which is used as the input of BP network, and the expected output is a neuron. The value of the neuron represents the comprehensive performance evaluation value of the landscape simulation system. The experimental results show that the evaluation results of the research method are consistent with the expert evaluation results, with high accuracy; with the increasing number of systems, the evaluation efficiency of the research method is faster.
Highlights
Landscape environment is a complex system, which has become one of the key factors affecting urban construction, urban appearance environment construction, and urban management level [1]
In order to complete the generation of interactive three-dimensional virtual landscape environment, virtual reality technology needs to combine computer graphics system and various display and control interface equipment to realize the generation of landscape environment
(3) We propose an interactive application of virtual reality and intelligent big data in landscape design
Summary
Received 3 February 2021; Revised 8 April 2021; Accepted 15 April 2021; Published 27 April 2021. In order to improve the accuracy and efficiency of performance evaluation, the interactive application of virtual reality and intelligent big data in landscape design is proposed. Clara algorithm is used to mine the performance evaluation index data of landscape simulation design. E performance evaluation index system of landscape simulation system is established based on the data mined. BP network is used to build a comprehensive evaluation model. E expert scoring method is the evaluation index system scoring, which is used as the input of BP network, and the expected output is a neuron. E value of the neuron represents the comprehensive performance evaluation value of the landscape simulation system. E experimental results show that the evaluation results of the research method are consistent with the expert evaluation results, with high accuracy; with the increasing number of systems, the evaluation efficiency of the research method is faster BP network is used to build a comprehensive evaluation model. e expert scoring method is the evaluation index system scoring, which is used as the input of BP network, and the expected output is a neuron. e value of the neuron represents the comprehensive performance evaluation value of the landscape simulation system. e experimental results show that the evaluation results of the research method are consistent with the expert evaluation results, with high accuracy; with the increasing number of systems, the evaluation efficiency of the research method is faster
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