中文摘要：

在湿地生态旅游开发的过程中,多种湿地生态因素共同作用,对于旅游效益的影响是一个非线性的过程。利用传统的方法进行湿地生态旅游开发对旅游效益影响评估的过程中,由于相关参数的选取过程中受到主观性因素较强,导致的评估准确性降低。提出一种基于生态约束机制的湿地生态旅游开发对旅游效益影响的评估方法。对湿地生态因素对旅游效益影响的实际数值进行归一化处理,建立基于生态约束机制的湿地生态旅游开发对旅游效益影响的神经网络模型,对模型中的相关误差进行补偿,将每一种类型的湿地生态因素对旅游效益影响程度进行训练,并将训练结果输入到模型中,最终获取准确的评估结果。实验结果表明,利用改进算法能够有效提高评估的准确性,提高了评估效率。

英文摘要：

In the process of wetland eco - tourism development, a variety of wetland ecological factors present combined action, for which the effect on tourism benefit is a nonlinear process. In traditional methods to assess the impact of wetland eco - tourism development on tourism benefit, because the process of related parameters selection is strongly affected by subjective factors, the accuracy of assessment is decreased. A kind of method for assessing the impact of wetland eco - tourism development on the tourism benefit based on the ecological constraint mechanism is proposed. The actual values of the impact of wetland ecological factors on the tourism benefit is made normalization processing, and the neural network model for the impact of wetland eco - tourism development on the tourism benefit based on the ecological constraint mechanism is established. The correlated error in the model is compensated, the degree of the impact of each type of wetland ecological factors on the tourism benefit is made training, and the train- ing results are input into the model, and accurate assessment results are obtained. Experimental results show that the improved algorithm can effectively increase the accuracy and the efficiency of the assessment.