| 1. | Application of support vector machine regression in runoff forecast
支持向量机回归模型在径流预测中的应用 |
| 2. | Study on runoff forecast of baihe river basin in headwater region of the yellow river
黄河源区白河流域径流预报研究 |
| 3. | Cuntan station of the yangtze river annual runoff forecasting with set pair analysis method
集对分析法在长江寸滩站年径流预测中的应用 |
| 4. | Annual runoff forecasting research based on the theory of cointegration and error correction model
基于协整与误差修正机制的径流预测模型研究 |
| 5. | The correct runoff forecast in time can yield good economic and social returns
正确及时的洪水预报不仅可以带来可观的经济效益，而且可以产生良好的社会效益。 |
| 6. | The optimal networks is triumphantly applied in runoff forecast , it is more efficient and precise . 4
在径流预测中，优化的网络拟合与预测精度均高于线性回归模型和投影寻踪模型。 |
| 7. | Meanwhile , theory of artificial neural network ( ann ) is introduced into runoff forecasting of shuicehng reserior . artificial neural network model is established to apply to runoff forecasting
同时将人工神经网络模型引进到水城水库的洪水预报中，建立了人工神经网络预报模型。 |
| 8. | ( 7 ) from analysis , the smg model with decaying recursion updating is the most suitable model for reservoir 10 day runoff forecast at liujiaxia and longyangxia . and neural network model is the next
( 7 )通过对比分析，认为加衰减递推实时修正的smg模型是最适合黄河上游的中长期水文预报模型，神经网络次之。 |
| 9. | In this paper , mean generating function is applied to the forecast of monthly runoff in a creative way . the forecast result proved that the mean generating function is a feasible method in monthly runoff forecast
( 3 )创造性地将均生函数模型应用于入库月径流预测，得到了实用性较好的预测成果，丰富了径流中长期预测的理论和方法。 |
| 10. | The main researches in this paper are as follows : 1 improve the performance of classical xin " anjiang model . 2 theory of artificial neural network ( ann ) is introduced into runoff forecasting of shuicehng reserior
本文的工作主要有以下几方面：一、对传统预报模型进行改进二、将人工神经网络引入到水城水库洪水预报三、程序实现 |
