在时间-费用关系为非线性的假设下，建立求网络计划最低成本日程的优化模型。
An optimization model to find the lowest budget schedule of network planning is established under the assumption that the time-cost relationship is nonlinear.
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.
方法引入了金属铣削加工参数多目标优化模型，应用目标达到法对模型求解，又基于神经网络建立了金属铣削参数自动获取模型。
It introduces the multi-objected optimization model of the metal milling process parameters and applies the goal attainment method to ask for the explanation for the model.
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