基于神经网络的电脑主板最优决策模型
he Optimal Strategy Model for MotherBoard Based on BP Neural Network
在主板的研发阶段,自然会出现可预知的、不可预知的问题。针对在测试过程中出现的各种问题,软硬件工程师会合作找出一个解决的方案或策略,使得主板的某个或几个性能达到或接近事先制定的目标,从而得到最优决策模型。鉴于工程师们的重复性劳动,本文给出了在主板的自然状态完全已知且唯一确定的情况下,由神经网络自动得到最优模型的方法。
On the motherboard R & D phase, there will naturally be predictable and unpredictable problems. In the course of testing for the various problems, hardware and software engineers would work together to find a solution or strategy, making one or several motherboard performance to reach or approach the goals set prior to get the optimal strategy model. Given the repetitive work of the engineers, in this paper, the natural state of the motherboard and the only known complete set of circumstances, by the neural network model automatically get the optimal approach.
张男、郭嗣琮、郭煜丹
电子元件、电子组件计算技术、计算机技术
神经网络BP算法电脑主板最优决策
Neural NetworkBP AlgorithmMotherBoardOptimal Strategy
张男,郭嗣琮,郭煜丹.基于神经网络的电脑主板最优决策模型[EB/OL].(2008-04-25)[2025-08-06].http://www.paper.edu.cn/releasepaper/content/200804-905.点此复制
评论