𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Artificial neural networks: A new methodology for industrial market segmentation

✍ Scribed by Kelly E Fish; James H Barnes; Milam W AikenAssistant


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
594 KB
Volume
24
Category
Article
ISSN
0019-8501

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Improving extreme hydrologic events fore
✍ Paulin Coulibaly; Bernard Bobée; François Anctil 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 89 KB

## Abstract The issue of selecting appropriate model input parameters is addressed using a peak and low flow criterion (PLC). The optimal artificial neural network (ANN) models selected using the PLC significantly outperform those identified with the classical root‐mean‐square error (RMSE) or the c

A new recursive neural network algorithm
✍ Paras Mandal; Anurag K. Srivastava; Tomonobu Senjyu; Michael Negnevitsky 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 284 KB

This paper evaluates the usefulness of publicly available electricity market information in predicting the hourly prices in the PJM day-ahead electricity market using recursive neural network (RNN) technique, which is based on similar days (SD) approach. RNN is a multi-step approach based on one out

A new optimization technique for artific
✍ Thomas H. Fischer; Wesley P. Petersen; Hans Peter Lüthi 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 834 KB

An artificial neural network (ANN) method for the prediction of force constants of chemical bonds in large, polyatomic molecules was developed. The force constant information evaluated is to be used for generating accurate estimates of the Hessian used in Newton-Raphson-type ab initio molecular stru