역전파 알고리즘을 사용한 지능형 철도 운영 시스템 개선방안

Recently, the development of the advanced intelligent systems based on virtual situations and job training has been conducted by several countries of Europe complying cross-country interoperability standards. Thus, Korea Railroad, which will link with the Eurasian railway in the future, must prepare the conversion of current education and training systems based on experience into future systems base on the advanced intelligent operations. To this end, this study investigated the functions of railway operation and the jobs of train drivers required for the development of learning model associated with the artificial neural network theory. In the study, the application of the index task management function based on decision task models was proposed. In addition, the onboard field logical model, which is one of safety barrier of high speed rail system, and the parity model were constituted as case studies of intelligent training models. Then, the effects appling the backpropagation algorithm to these models were checked. Finally, we proposed to extend the need for an intelligent system in accordance with the training needs of systemic administration.