𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Comparison of image processing algorithms and neural networks in machine vision inspection

✍ Scribed by Chien-nan Huang; Chin-Choon Lim; C. Ming


Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
262 KB
Volume
23
Category
Article
ISSN
0360-8352

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Comparison of multilayer perceptron and
✍ Younes Chtioui; Dominique Bertrand; Marie-Francoise Devaux; Dominique Barba πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 387 KB πŸ‘ 2 views

In classification problems the most commonly used neural network is probably the multilayer perceptron network (MLPN). The probabilistic neural network (PNN) is a possible alternative to the MLPN. The PNN is based on the Bayesian approach and a non-parametric estimation of the probability density fu

Comparison of approaches for machine-lea
✍ Alison A. Motsinger-Reif; Scott M. Dudek; Lance W. Hahn; Marylyn D. Ritchie πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 384 KB πŸ‘ 1 views

## Abstract The detection of genotypes that predict common, complex disease is a challenge for human geneticists. The phenomenon of epistasis, or gene‐gene interactions, is particularly problematic for traditional statistical techniques. Additionally, the explosion of genetic information makes exha

Focusing on one component each timeβ€”comp
✍ Liqiang Luo; Ang Ji; Guangzu Ma; Changlin Guo πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 438 KB πŸ‘ 2 views

An algorithm of single component prediction based on backward error propagation is proposed, in which only one component concentration in a multivariate system is predicted each time. The algorithm was compared with a multiple component prediction model. In general, the predictive accuracy of the si