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Predictive Push Logistic Using Runtime Monitoring of Hidden and Visible Data.
| 题名： | Predictive Push Logistic Using Runtime Monitoring of Hidden and Visible Data. |
| 作者： | Drusinsky, D. |
| 关键词： | Automated speech recognition, Department of defense, Dynamic programming, Directories, Military research, Algorithms, Models, Computer science, Monitoring, Ships, Logistics, Navy, Probability, Hidden markov models, Predictive logistics |
| 摘要： | This report described a general purpose predictive logistics software package based on three primary components: 1. A spreadsheet of ship related orders. 2. A Probabilistic Temporal Finite State-Machine (PTFSM) automatically learned from that data. 3. (Optional) Expert rules written in English. The deliverable tool predicts orders per Ship-ItemType pairs. It has two main prediction modes: a. Predict a probability of an order (for one or more Ship-ItemType pairs) to be required in n weeks. b. Predict the number of weeks required for the probability of an order (for one or more Ship-Item Type pairs) to exceed some given value p. |
| 报告类型： | 科技报告 |
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