Neural computing technologies modeling

Baan, 87, 88, 95, 492, 1738 BaanERP, 95, 304, 492 Backlogged demands, 1636—1637 Back propagation (BP), 163 Back-propagation neural nets, 1778-1779 Balanced scorecard, 321-322, 997-998 Balance (with introduction/use of computer technologies), 1228, 1229 Balance model of occupational safety and health, 1159-1162 Baldrige criteria, 1956—1957, 1964... 

Fan Yongjian, Mai Jianying, Shen Yanguang. 2009. Study of the Safety Assessment Model of Coal Mine Based on BP Neural Network. Intelligent Computation Technology and Automation International Conference 103—106. 

A hands-on experience with the method is possible via the SPINUS web service [48. This service uses a client-server model. The user can draw a molecular structure within the web browser workspace (the client), and send it to a server where the predictions are computed by neural networks. The results are then sent back to the user in a few seconds and visualised with the same web browser. Several operations and different types of technology arc involved in the system ... 

The preceding discussions show that statistical and computer neural network modeling can be applied to the GAP to obtain models that can be used to predict performance of the process in the forward and reverse modes. The neural network model predicts the performance to within an average of 12% for the forward and 35% for the reverse modes, making it a useful model for expanding the GAP technology to other systems without the need to perform large and expensive experiments. 

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