对象模型的一部分可以使用位掩码(bit mask)或原生数组来优化，并牺牲可读性来提高速度。
Portions of the object model might be optimized using bit masks or native arrays, sacrificing readability for speed.
提高了装载机连杆机构的设计速度和设计质量，这种数学模型对于反转六连杆机构的优化设计具有普遍的适应性。
This mathematical model improves the design speed and quality of loader connecting rod mechanism has general applicability to the optimization design of RSCPM.
本文从神经网络模型的结构出发，对学习算法提出了一系列改进和优化措施，以加快网络的学习速度，并增加模型的稳定性。
With the study of neural network model, this paper advances some of improvement and optimization techniques that can accelerate the learning speed of network and increase the stability of model.
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