✦ LIBER ✦

Conjoint prediction of paid and incurred losses

✍ Scribed by L.J. Halliwell

Publisher: Elsevier Science
Year: 1998
Tongue: English
Weight: 209 KB
Volume: 22
Category: Article
ISSN: 0167-6687
DOI: 10.1016/s0167-6687(98)80005-x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Characteristics of losses incurred from

Characteristics of losses incurred from restriction of water use and electric power consumption

✍ S. B. Elakhovskii; S. I. Sorokina; E. N. Smirnova 📂 Article 📅 1985 🏛 Springer 🌐 English ⚖ 672 KB

Evaluation and prediction of energy loss

Evaluation and prediction of energy losses in track-terrain interaction

✍ R.N. Yong; H. Elmamlouk; L. Della-Moretta 📂 Article 📅 1980 🏛 Elsevier Science 🌐 English ⚖ 908 KB

Tracing and prediction of losses for der

Tracing and prediction of losses for deregulated operation of power systems

✍ Perumal Nallagownden; Ravindra N. Mukerjee; Syafrudin Masri 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 341 KB

Prediction of scaling losses and decarbo

Prediction of scaling losses and decarbonization during heating prior to rolling

✍ É. I. Spivak 📂 Article 📅 1984 🏛 Springer US 🌐 English ⚖ 143 KB

Prediction of total loss factors of stru

Prediction of total loss factors of structures, I: Theory and experiments

✍ J.C. Sun; E.J. Richards 📂 Article 📅 1985 🏛 Elsevier Science 🌐 English ⚖ 613 KB

Prediction of power losses in transforme

Prediction of power losses in transformer cores using feed forward neural network and genetic algorithm

✍ Ilker Kucuk; Naim Derebasi 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 148 KB

A mathematical model for core losses was improved for frequency and geometrical effects using experimental data obtained from toroidal wound cores. The improved mathematical model was applied to the other soft magnetic materials and optimizes its parameters with the aim of neural networks. A 6-neuro