1) nonnegative weight network
非负权网络
2) nonnegative weights
权值非负
1.
A new kind algorithm of Kriging based on the Linear Programming (LP)is proposed to take the constrains of nonnegative weights into consideration,and this new method not only makes the use of LP's properties of easy and fast caculation,but also avoids the heavy caculation and subjective affection that existed in the other methods with nonnegative weights.
基于线性规划方法提出了一种考虑权值非负约束的克立格算法，该算法既利用了线性规划求解简便、快捷的优点，又克服了其它正克立格法计算工作量大以及受主观因素影响的缺点。
3) non-negative weights
非负权重
1.
Combined the characteristics of three forecast methods,a forecast model with non-negative weights is proposed.
本文根据1998年~2005年江苏省入境旅游客源数据特征,采用BP神经网络模型、GM(1,1)模型以及指数曲线模型分别进行预测,然后结合这三种预测方法的特点,提出非负权重组合预测模型,通过实例运算的对比分析,证明组合预测模型具有很高的准确性。
4) non-negative weight
非负权重
1.
An Iterative Algorithm for Optimal Combination Forcasting of Non-negative Weights;
非负权重最优组合预测的迭代算法研究
2.
The paper is based on the limit theory and former person s research on arithmetic for optimal combination forecasting of non-negative weights.
在极限理论及其前人对非负权重最优组合算法研究的基础之上,提出了一种求解非负权重近似最优解的简明算法,并进行了实例分析,结果令人满意,验证了该方法的实用性和有效性。
3.
On the basis of rational choice of single forecast model,through the solution of approximate optimal non-negative weight,creates an combination forecasting model.
在合理选择单一预测模型的基础上,通过求解近似最优非负权重来建立组合预测模型,并运用概率统计方法对模型的适用性进行了验证,为浙江省公路货运量的预测提供了新思路。
5) load network
负载网络
1.
To describe the design plan of hardware of PLC simulating experiment system which includes purify electrical source,carrier wave signal source,noise signal source,load network combined with the transmit character of PLC,and presenting hardware circuit diagram of each parts.
结合低压电力线载波通信传输特性的分析,设计了包含净化电源、载波信号源、噪声信号源、负载网络等部分的低压电力线载波通信模拟实验系统。
6) negative sequence network
负序网络
1.
Based on this, the circuits are divided into two parts: positive and negative sequence networks.
在此基础上,将电路划分为正序网络和负序网络,同时利用不平衡功率的波动特性提出了SVC(Static Var Compensator)的等效补偿电纳计算方法。
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