| 1. | Surveying the methods of improving
人工神经网络方法在环境科学领域应用进展 |
| 2. | Artificial neural networks ann
人工神经网络方法 |
| 3. | Comprehensive evaluation approach of road traffic safety based on artificial neural network
道路交通安全综合评价的人工神经网络方法 |
| 4. | The application of artificial neural network in precipitation forecast in flood season over hebi
人工神经网络方法在鹤壁汛期降水预报中的应用 |
| 5. | Prediction of seepage quantities of a dam foundation based on artificial neural network model with learning into groups
大坝基础渗流量预测的交替学习人工神经网络方法研究 |
| 6. | Examples show that neural networks are feasible and efficient for the evaluation of the organizational networking
实例证明，人工神经网络方法应用于组织网络化发展评价是可行和有效的。 |
| 7. | This opens a new way to predict bottomhole pressure of under - balanced wells using the artificial neural networks method
这为实际应用中使用人工神经网络方法预测欠平衡钻井系统井底压力开辟了一个新途径。 |
| 8. | The method of appraisal in this article is delphi method combining with ahp method and artificial nerve net method
本文主要采用delphi法与ahp法相结合的综合评价方法及人工神经网络方法对牡丹江市持续高效农业示范区的可持续性进行评价。 |
| 9. | The genetic arithmetic and artificial neural network methods are also been applied in this research field , and advanced development is promising to obtain
遗传算法、人工神经网络方法也正被应用于这一研究领域，并有望取得新的进展和突破。 |
| 10. | The artificial neural network ( ann ) method is studied for use in river channel flood forecasting , the result show that the method can be applied in practice
论文探索了人工神经网络方法( ann )在河道洪水预报中的应用；该结果具有一定实用前景。 |
