基于BP神经网络的湖泊旅游资源综合评价--以杭州西湖为例

本文在分析BP神经网络概念和原理的基础上，从阈值角度出发，生成适用于BP人工神经网络模型的训练样本，并建立了自然环境指标、社会支持系统指标、社会经济文化指标三个指标体系，用于构建湖泊旅游资源综合评价的BP神经网络模型。运用此模型将杭州西湖与喀纳斯湖旅游资源综合评价结果进行对比分析，验证模型的合理性，从而说明该模型对湖泊旅游资源的综合评价具有较好的客观性、通用性和实用性。

Comprehensive Evaluation on the Lake Tourism Resources Based on BP Neural Network - By Taking Hangzhou West Lake as an Example

In this paper, on the basis of analyzing the concept and principle of BP neural network, from the an-gle of the threshold, we generate a training sample suitable for BP artificial neural network model, and set up the natural environment, social support system, society, economy and culture three indicators system, which are used to build the BP neural network model for realizing a comprehensive evaluation of tourism resources. After com-paring and analyzing the results of Hangzhou West Lake and Kanas Lake gained from the model, we validate the rationality of the model, which shows that the model for comprehensive evaluation of lake tourism resources has a relatively good objectivity, generality and practicability.