𝔖 Bobbio Scriptorium
✦   LIBER   ✦

An artificial neural network model with modified perceptron algorithm

✍ Scribed by Y.P Chu; C.M Hsieh


Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
726 KB
Volume
18
Category
Article
ISSN
0167-8191

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Modelling evaporation using an artificia
✍ K. P. Sudheer; A. K. Gosain; D. Mohana Rangan; S. M. Saheb πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 244 KB πŸ‘ 1 views

## Abstract This paper investigates the prediction of Class A pan evaporation using the artificial neural network (ANN) technique. The ANN back propagation algorithm has been evaluated for its applicability for predicting evaporation from minimum climatic data. Four combinations of input data were

An approximate integral model with an ar
✍ Guo-Liang Ding; Chun-Lu Zhang; Tao Zhan πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 388 KB

## Abstract In order to improve predicting precision and increase computation speed of simulation for heat exchangers, a novel method is presented in this paper, whereby an approximate integral model is used to simplify the original distributed parameter model and an artificial neural network is co

Short-term inflow forecasting using an a
✍ Z. X. Xu; J. Y. Li πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 230 KB πŸ‘ 1 views

## Abstract The primary objective of this study is to investigate the possibility of including more temporal and spatial information on short‐term inflow forecasting, which is not easily attained in the traditional time‐series models or conceptual hydrological models. In order to achieve this objec