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Operations Research, Systems Engineering and Industrial Engineering Commons™
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- Accident prevention (1)
- Computer simulation (1)
- Cooperative learning (CL) (1)
- Engineering education (1)
- Financial Data Processing (1)
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- Forecasting Theory (1)
- Maximum Possible Performance (1)
- Multilayer Perceptrons (1)
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Articles 1 - 2 of 2
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Applying Informal Cooperative Learning Groups Techniques In The Classroom, Susan L. Murray
Applying Informal Cooperative Learning Groups Techniques In The Classroom, Susan L. Murray
Engineering Management and Systems Engineering Faculty Research & Creative Works
The application of informal cooperative learning (CL) groups techniques in the courses including operation research, and computer simulation, is discussed. The informal CL activities can be accomplished in small groups consisting of two or three students. It increases student participation and revitalizing passive lecturers. Students work example problems or homework problems in groups.
Stock Market Prediction Using Different Neural Network Classification Architectures, Karsten Schierholt, Cihan H. Dagli
Stock Market Prediction Using Different Neural Network Classification Architectures, Karsten Schierholt, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
In recent years, many attempts have been made to predict the behavior of bonds, currencies, stocks, or stock markets. The Standard and Poors 500 Index is modeled using different neural network classification architectures. Most previous experiments used multilayer perceptrons for stock market forecasting. A multilayer perceptron architecture and a probabilistic neural network are used to predict the incline, decline, or steadiness of the index. The results of trading with the advice given by the network is then compared with the maximum possible performance and the performance of the index. Results show that both networks can be trained to perform better …