✦ LIBER ✦

Nearest neighbours for avalanche forecasting in Scotland—development, verification and optimisation of a model

✍ Scribed by R.S Purves; K.W Morrison; G Moss; D.S.B Wright

Book ID: 117335475
Publisher: Elsevier Science
Year: 2003
Tongue: English
Weight: 766 KB
Volume: 37
Category: Article
ISSN: 0165-232X
DOI: 10.1016/s0165-232x(03)00075-2

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A nearest neighbour model for forecastin

A nearest neighbour model for forecasting market response: Mulhern, F. J. and Caprara, R. J. International Journal of Forecasting 10 (2), 191–207 (September 1994)

📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 96 KB

Parameter optimisation using genetic alg

Parameter optimisation using genetic algorithm for support vector machine-based price-forecasting model in National electricity market

✍ Saini, L.M.; Aggarwal, S.K.; Kumar, A. 📂 Article 📅 2010 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 492 KB

Development of a forecasting model for s

Development of a forecasting model for scald, Rhynchosporium secalis, on rye in relation to climatic conditions

✍ G. WERRES; H. HINDORF 📂 Article 📅 1991 🏛 John Wiley and Sons 🌐 English ⚖ 409 KB

Optimising harvest date in sugar product

Optimising harvest date in sugar production: A case study for the Mossman mill region in Australia: I. Development of operations research model and solution

✍ A.J Higgins; R.C Muchow; A.V Rudd; A.W Ford 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 82 KB

What is happening to the number of fatal

What is happening to the number of fatalities in road accidents? A model for forecasts and continuous monitoring of development up to the year 2000

✍ Ulf Brüde 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 476 KB

A model for successively forecasting and monitoring the development in the number of fatalities in traffic is presented. The model has been created through time series analysis covering the years 1977-1991. The model is simple, with the number of fatalities as the dependent variable and with time an