Multiple Classes Random Neural Network Model and Color Pattern Recognition Problems

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http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861519

IEEE-INNS-ENNS International Joint Co ...

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	Jose Aguilar, Valentina Rossell, "Multiple Classes Random Neural Network Model and Color Pattern Recognition Problems," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 5, pp. 5503, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.861519, author = {Jose Aguilar and Valentina Rossell}, title = {Multiple Classes Random Neural Network Model and Color Pattern Recognition Problems}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {5}, year = {2000}, issn = {1098-7576}, pages = {5503}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861519}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - Multiple Classes Random Neural Network Model and Color Pattern Recognition Problems SN - 1098-7576 SP EP A1 - Jose Aguilar, A1 - Valentina Rossell, PY - 2000 VL - 5 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

Jose Aguilar, Universidad de los Andes

Valentina Rossell, Universidad de los Andes

The purpose of this paper is to describe the use of the multiple classes random neural network model to learn patterns having different colors. We propose a learning algorithm for the recognition of color patterns based upon the non-linear equations of the multiple classes random neural network model using gradient descent of a quadratic error function. In addition, we propose a progressive retrieval process with adaptive threshold value.

Citation:

Jose Aguilar, Valentina Rossell, "Multiple Classes Random Neural Network Model and Color Pattern Recognition Problems," ijcnn, vol. 5, pp.5503, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000

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