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  • 标题:SCHEDULING APPLICATION PRACTICUM INTEGRATED LABORATORY (I-LAB) GUNADARMA UNIVERSITY USING NEURAL NETWORKS
  • 作者:Lis Adinda Noorchayati ; Asep Adinda Juarna
  • 期刊名称:Faculty of Computer Science and Information Technology
  • 出版年度:2011
  • 卷号:0
  • 期号:0
  • 语种:English
  • 出版社:Faculty of Computer Science and Information Technology
  • 摘要:Keywords: Scheduling, Practical, Integrated Laboratory, Artificial Neural Network, Perceptron ABSTRACT Integrated Laboratory (iLab) Gunadarma University as one of the institute at the University of Gunadarma the independent lab conducting, scheduling lab work requires an appropriate system. Preparation of an independent lab schedule is of course very important considering the schedule lab work that has been made must not interfere with the activities of the course. Based on these needs, the research practicum developed a scheduling application by implementing a neural network. Artificial neural network used is a method whereby perceptron neural network models were created to identify the lab schedule available on lecture schedule. Neural network system in the process of learning to adjust to the preparation of the scheduling pattern. Application has been to provide a solution for scheduling lab work that does not disturb the lecture schedule.
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