Experimental medical and industrial applications of neural networks to image inspection using an inexpensive personal computer

Sardy, Sar; Ibrahim, Lamyarni

doi:10.1117/1.600824

Cited by 7 publications

(2 citation statements)

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“…A neighborhood parameter, or radius, , can be defined to indicate the neighborhood of a specific neuron. It has been used as a self-organization map for classification [98] and pattern recognition purposes in general.…”

Section: Nonnrecurrent Unsupervised Kohonen Networkmentioning

confidence: 99%

“…close to the biological (particularly brain) function, manually written character recognition by cognition at the practical level and cell recognition for mammalian cell cultivation by using NNs [45]. Kohonen networks were used for image inspection and for disease identification from mammographic images [98]. Probabilistic networks were used for transient detection to enhance nuclear reactors' operational safety [6].…”

Section: Pattern Recognitionmentioning

confidence: 99%

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A comprehensive review for industrial applicability of artificial neural networks

Meireles

Almeida

Simões

2003

IEEE Trans. Ind. Electron.

391

136

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Abstract-This paper presents a comprehensive review of the industrial applications of artificial neural networks (ANNs), in the last 12 years. Common questions that arise to practitioners and control engineers while deciding how to use NNs for specific industrial tasks are answered. Workable issues regarding implementation details, training and performance evaluation of such algorithms are also discussed, based on a judiciously chronological organization of topologies and training methods effectively used in the past years. The most popular ANN topologies and training methods are listed and briefly discussed, as a reference to the application engineer. Finally, ANN industrial applications are grouped and tabulated by their main functions and what they actually performed on the referenced papers. The authors prepared this paper bearing in mind that an organized and normalized review would be suitable to help industrial managing and operational personnel decide which kind of ANN topology and training method would be adequate for their specific problems.

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Section: Nonnrecurrent Unsupervised Kohonen Networkmentioning

confidence: 99%

Section: Pattern Recognitionmentioning

confidence: 99%