Early-Warning Model for TECC Based on Gray Neural Network - Taking Laolongtou Scenic Area as an Example

Abstract:

Based on fuzzy inference and gray neural network, indexes of early-warning system of carrying capacity in scenic spots is established and extract fuzzy rules based on historical data, simulate the early-warning system based on fuzzy inference, gray forecasting model is built for single feature index respectively, add a compensated error based on neural network. The prediction value equals to the output value of grey neural network model plus the compensated error signal. At last, takes Laolongtou scenic area as an example.

• Periodical: Applied Mechanics and Materials (Volumes 397-400)
• Pages: 2435-2438
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.397-400.2435
• Online since: September 2013
• Authors: Xiu Ping Yang, Er Chao Li
• Keywords: Early-Warning Model, Fuzzy Inference, Gray Neural Network, TECC

References

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