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首页> 外文会议>IFIP(International Federation for Information Processing) International Conference on Information Technology for Balanced Automation Systems; 20080623-25; Porto(PT) >NEURAL NETWORK MODELING AND SIMULATION OF THE SCHEDULING
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NEURAL NETWORK MODELING AND SIMULATION OF THE SCHEDULING

机译：调度的神经网络建模与仿真

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摘要

A three layer feed forward neural network was constructed and tested to analyze the scheduling process on single machine. The operating variables studied are the operation, processing time, setup time, deadline time, duedate time, priority, machine, and fabric color. These variables were used as input to the constructed neural network in order to predict the scheduling completion time as the output on a single machine. Three layer feed forward network trained with error back propagation learning rule are used. The constructed network was found to be precise in modeling the scheduling for the operating conditions studied and also, in predicting the scheduling for the new input data which are kept unaware of the trained neural network.
机译：构建并测试了三层前馈神经网络，以分析单台机器上的调度过程。研究的操作变量是操作，处理时间，设置时间，截止时间，到期时间，优先级，机器和织物颜色。这些变量用作构建的神经网络的输入，以便预测调度完成时间作为单台机器上的输出。使用经过错误反向传播学习规则训练的三层前馈网络。发现所构建的网络在为所研究的工作条件进行调度建模方面是精确的，而且在预测新输入数据的调度方面是精确的，这些新输入数据不了解经过训练的神经网络。

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