| 1. | Predicted times and heights of high and low tides
预测涨潮和退潮的时间和高度 |
| 2. | Meteorological effect on predicted times and heights
四、气象因素对预测时间及高度的影响 |
| 3. | 4 . meteorological effect on predicted times and heights
四气象因素对预测时间及高度的影响 |
| 4. | Predicting time - courses of structural respones to blast ing vibration
建筑结构爆破震动响应的时程预测 |
| 5. | Along with time and speed become the main source of competitions of marketing , it is not enough for manufacturing only strengthens designing and predicting time of to reduce turnover of new product
随着时间与速度逐渐成为竞争优势的主要来源，企业仅重视产品的设计和制造的时间与速度，以减少新产品系列的推出时间，已远远不够。 |
| 6. | As the predicted times and heights of the high and low tides are derived for average meteorological conditions , the observed tides may differ from those predicted when the actual meteorological conditions deviate from the mean
由于预测涨退潮出现的时间及高度只适用于平均气象情况，故当实际气象情况与平均情况有距离的时候，潮汐观测与预测之间可能出现分别。 |
| 7. | As the predicted times and heights of the high and low tides are derived for average meteorological conditions , the observed tides may differ from those predicted when the actual meteorological conditions deviate from the mean
由于预测涨退潮出现的时间及高度只适用于平均气象情况，故当实际气象情况与平均情况有距离的时候，潮汐观测与预测之间可能出现分别。 |
| 8. | An artificial neural network （ ann ） model was developed and used in different water bodies to predict timing for environmental changes as well as for the dynamics of resources . the results show that the ann model is superior to classical statistical models ( csm ) and can be used as predictive tool for highly non - linear phenomena
用人工神经网络方法对不同水域、不同环境因子之间非线性和不确定性的复杂关系进行学习训练并预测检验，结果表明:人工神经网络方法在模拟和预测方面均优于传统的统计回归模型，在资源与环境方面的应用是可行的，具有较强的模拟预测能力。 |
