Publicou 12 edições por ano
ISSN Imprimir: 0040-2508
ISSN On-line: 1943-6009
Indexed in
COLLECTIVE NEURAL NETWORK ALGORITHM FOR IMAGE RECOGNITION
RESUMO
The article gives a comparative analysis of image recognition quality indices by means of statisical, deterministic, and neural network algorithms. A collective neural network algorithm for image recognition is proposed. The results of a computational experiment for recognition of complex images, with a high similarity measure, are presented.
-
Fomin, Ya. A. and Tarlovskii, G. R. , Statistical Theory of Image Recognition.
-
Galushkin, A. I. , Neurocomputers. Book 3: Manual for Higher Educational Institutions.
-
Kohonen, T. , Self-Organization and Associative Memory.
-
Korotkii, S. , Hopfield and Hamming Neural Networks.
-
Novikova, N. M. and Prasolova, A. E. , Recognition of complex images by neural network and statistically optimal algorithms.
-
Tikhonov, V. I. and Kharisov, V. V. , Statistical Analysis and Synthesis of Radio Engineering Devices and Systems.
-
Wasserman, P. , Neural Computing: Theory and Practice.
-
Liu Xiongfei, Zhang Jingcheng, Discrimination of Visible Impurity in Bottled Oral Liquid Based on Mixed Characteristic, 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2018. Crossref