The exemplar-aided constructor of hyper-rectangles learning algorithm for stream flow estimation
✍ Scribed by Fi-John Chang; Hui-Fen Lin
- Book ID
- 101284348
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 171 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0885-6087
No coin nor oath required. For personal study only.
✦ Synopsis
The exemplar-aided constructor of hyper-rectangles (EACH) model which simulates human intelligence by learning from experience and adjusting in time, proposed by Salzberb (1991), is presented and modi®ed to strengthen its performance in variable stream ¯ow extension. The modi®cation is intended to resolve the contradiction between building hyper-rectangles and predictive accuracy in which the number of hyperrectangles becomes too large if higher accuracy is required. To explore the feasibility of the modi®ed EACH, a mathematical function is simulated by the model. It is then applied to extend the 10-day stream ¯ow records according to the nearby rainfall and/or stream ¯ow gauges. The results show that the modi®ed EACH achieves the goal of saving memory space and promoting predictive accuracy, and its performance is better than those of the original EACH and traditional methods. This research suggests that the modi®ed EACH shows considerable promise in stream ¯ow estimation.