Membrain neural network for visual pattern recognition

• Autorzy: Popko A. , Jakubowski M. , Wawer R.
• Języki publikacji: EN

Abstrakty

EN

Recognition of visual patterns is one of significant applications of Artificial Neural Networks, which partially emulate human thinking in the domain of artificial intelligence. In the paper, a simplified neural approach to recognition of visual patterns is portrayed and discussed. This paper is dedicated for investigators in visual patterns recognition, Artificial Neural Networking and related disciplines. The document describes also MemBrain application environment as a powerful and easy to use neural networks’ editor and simulator supporting ANN.

Słowa kluczowe

EN

neural network; pattern recognition; neuron model

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2013
• Tom: Vol. 7, nr 18
• Strony: 54--59
• Opis fizyczny: Bibliogr. 5 poz., fig.

Twórcy

autor

Popko A.

• Fundamentals of Technology Faculty, Lublin University of Technology, ul. Nadbystrzycka 38, 20-618 Lublin, Poland

autor

Jakubowski M.

• Management Faculty, Lublin University of Technology, ul. Nadbystrzycka 38, 20-618 Lublin, Poland

autor

Wawer R.

• University of Maria Curie Sklodowska, Multimedia Communications Lab. 20-011 Lublin ul. Narutowicza 12, Poland

Bibliografia

• 1. Balabin R.M., Lomakina E.I.: Neural network approach to quantum-chemistry data: Accurate prediction of density functional theory energies. J. Chem. Phys., 131(7), 2009: 74-104.
• 2. Shrivastava V., Sharma N.: Artificial Neural Network Based Optical Character Recognition. Signal & Image Processing. An International Journal (SIPIJ), 3(5), 2012.
• 3. Basu J. K., Bhattacharyya D., Kim T.: Use of Artificial Neural Network in Pattern Recognition. International Journal of Software Engineering and Its Applications, 4(2), 2010.
• 4. Dung L., Mizukawa M.: Designing a Pattern Recognition Neural Network with a Reject Output and Many Sets of Weights and Biases. Pattern Recognition Techniques, Technology and Applications, 2008.
• 5. http://www.membrain-nn.de/english/details_en.htm (May 2013).