精度不够 meaning in Chinese
imprecision
Examples
- It is very important in basic construction . but because its method of control is traditional which is controled by a skillful operator , this is hard to the operators and some special effects are not exact enough
然而由于其控制方式一直没有多大的改进,主要由熟练工人操作控制,因此不仅对操作员来讲劳动强度大,而且在挖掘特定轨迹时精度不够。 - In the area of oil and gas prediction , the common used means is geochemical logging when classifying them by pyrolysis parameters . but the result of classification is not very satisfied and the precision is not very high
在油气预测领域中，当利用热解参数进行油气层分类时，通常采用的方法是地球化学录井技术，但使用该方法所获得的结果精度不够高，不能令人十分满意。 - The main deficiency of crankshaft fatigue test machine now used in our country are inadequate test loading precision , low automatic and intellective degree and blank of mathematical statistics by computer . in order to fix them up , a new style crankshaft fatigue test system is developed
针对目前国内曲轴弯曲疲劳试验机试验精度不够、试验的自动化和智能化程度较低以及在试验数据计算机统计空白等不足，开发了一种具有较强实用性的新型曲轴弯曲疲劳试验系统。 - A complex particle swarm optimization ( cpso ) algorithm , which combines the advantages of method of complex ( mc ) and particle swarm optimization ( pso ) , is put forward to solve systems of nonlinear equations , and it can be used to overcome the difficulty in selecting good initial guess for newton ' s method and the inaccuracy of mc and pso due to being easily trapped into local minima for solving systems of nonlinear equations
摘要结合复形法与粒子群算法的优点，提出粒子群复形法，用于求解非线性方程组，以克服牛顿法初始点不易选择的问题，同时克服复形法与粒子群算法由于易陷入局部极值而导致方程组的解的精度不够的不足。 - 3 . the modeling method based on mechanism analysis and identification method always exits unmodeled high - order part and the modeling method based on neural networks usually has not good enough generalization capability . we fuse above two kinds of modeling method and put forward a hybrid modeling method based on mechanism analysis , identification and rbf neural networks . this paper proposed a hybr id modeling method based on mechanism analysis , identification and rbf neural networks . first , get a object ' s low - order model by the mechanism analysis and identification method . second , adopt rbf neural networks modeling method to compensate unmodeled high - order model . the sum of the low - order model and high - order model is the hybrid model . this kind of hybrid model has more accuracy than a model based on mechanism analysis and identification and has more generalization capability than a model based on neural networks
针对基于机理分析和辨识的建模方法总是存在未建模的高阶部分，精度不够高和神经网络建模方法泛化能力差的缺点，将这两种建模方法进行融合，提出基于机理分析、系统辨识和rbf神经网络的混合建模方法，首先采用机理分析和辨识的方法得到工业对象的低阶模型，再用rbf神经网络建模方法补偿未建模高阶模型，这样得到的混合模型，比单纯基于机理分析和辨识的建模方法具有更高的精度，比单纯的神经网络的建模方法具有更好的泛化能力。