Research Article
RETRACTED: Research on the Predictive Analysis of Park Landscape Design and Cost Based on RNN Model
Table 1
Comparison of project cost prediction methods.
| Prediction methods | Advantages | Disadvantages | Accuracy |
| Fuzzy mathematics | Very good logical reasoning and intellectual presentation skills | Highly subjective; lack of automatic access to rules | Low | Grey theory | No requirement for sample size | Failure to consider the dynamic nature of project costs | Low | Regression analysis | Simple models | Uncertain factors are not considered | Low | Bayes prediction | Greater flexibility | Highly subjective | Low | Time-series prediction | No requirement for sample size | High requirements for data reliability | High | Support vector machines | Fast prediction | Difficulties in training large samples | High | Neural networks | High precision | Stronger data dependency | High |
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