| 1. | Wavelet networks are used to model the prediction error to compensate for the predictive output
为了提高输出预报精度，采用小波网络对预报误差进行预测，作为输出预报的补偿。 |
| 2. | A dynamic nonlinear system is identified through recurrent nn using back propagation ( bp ) algorithm and dynamic bp algorithm respectively
然后利用递归网络对动态非线性系统进行辨识，并与传统的预报误差方法作了比较。 |
| 3. | The method based on the principle of maximum entropy ( pome ) is applied to analyze the distributions of flood forecasting errors for some typical reservoirs in humid and semi - humid regions
摘要采用最大熵原理( pome )方法，对我国湿润和半湿润地区部分典型水库的洪水预报误差分布规律进行了研究。 |
| 4. | Based on the principal of the least prediction error and introduced relation analysis method , a new prediction method was advanced in the field of local climate prediction
摘要针对局地短期气候变化的非线性特征及其难以用模型准确刻画的现状，根据预报误差最小原理，引入关联度分析，提出了一种关于局地短期气候预测的关联度方法。 |
| 5. | Contrast experiment shows that multi - time factors can improve the quality of prediction equations and make effective rate reach 90 . 0 percents and reduce sum of residual squares 23 . 8 percents meanly
对比试验表明，多时刻因子可改善大多数预报方程的质量，有效率达90 . 0 % ；多时刻因子使预报误差明显减小，预报方程的残差平方和平均减少23 . 8 % 。 |
| 6. | The horizontal scalelength of model variables ( u . v . t , p and q ) is closely related to the average time of nmc technique and convective parameteric scheme of mm5 which affect the 12h and 24h outputs of mm5 integration
、 、 、 t 、 p和q )对应的误差水平尺度与nmc方法中预报误差的平均时间长度和模式提供1zh和24h预报所选用的积云参数化方案有直接的关系。 |
| 7. | It is found that the distributions of flood forecasting errors both in humid or semi - humid region approximately obey the law of normal distribution and the method based on pome is effective for calculating the distribution of flood forecasting errors
结果表明，我国湿润和半湿润地区的洪水预报误差近似服从正态分布，且采用阳me方法计算洪水预报误差分布是可行的。 |
| 8. | The probability density function of net rainfall relative errors , flood peak discharge relative errors and the time error of the forecasted flood peak are calculated by the model developed
通过建立洪水预报误差分布的最大摘模型，计算出9座典型水库洪水预报的净雨相对误差、洪峰流量相对误差和峰现时间预报误差的概率密度函数，并将其概率密度函数曲线与正态分布曲线进行比较。 |
| 9. | With pseudorandom binary sequence as inspiriting signal , feedback data is collected and time - domain and frequency - domain characteristic of the steering gear is analyzed . according to the results , system delay is determined . applying predictive error identification method , by comparing the different order model , model structure and parameters of the steering gear is determined
以伪随机二进制序列为激励信号,收集了反馈数据;利用收集的数据,对舵机进行了时域和频域特性分析;并以此为参考,确定了系统的延时量,应用预报误差的辨识方法,通过不同阶次模型间的比较,从而确定了舵机模型结构及参数。 |
| 10. | Grell scheme can simulate pw more accurate than others for coarse grid of mm5 and pw simulation of bm scheme is less accurate than others for fine grid of mm5 . 3 , the initial humidity fields reanalyzed by using gps pw can obviously improve its capability in revealing the water vapor distribution , which can result in restraining pw prediction bias during the earlier period of model integration so as to improve pw prediction
3 、用gps测量的可降水量资料调整mm5模式湿度初始场可明显增强模式初始场描述水汽分布的能力，使其对可降水量的描述误差明显减小，有利于模式初始场更好地反映出水汽分布的局地特征，从而有效地控制模式积分初期对可降水量的预报误差。 |
