Unsupervised neural classification of six chosen apple pests using learned vector quantization agorithm

2018 ◽  
Author(s):  
Maciej Zaborowicz ◽  
Piotr Boniecki ◽  
Hanna Piekarska-Boniecka ◽  
Krzysztof Przybył ◽  
Łukasz Gierz ◽  
...  
Keyword(s):  
Vector Quantization ◽  
Apple Pests

Classification of Textual Documents Using Learning Vector Quantization

2006 ◽  
Vol 6 (1) ◽  
pp. 154-159 ◽  
Author(s):  
Muhammad Fahad Umer ◽  
M. Sikander Hayat Khiyal
Keyword(s):  
Vector Quantization ◽  
Learning Vector Quantization

scholarly journals Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algorithm

2019 ◽  
Vol 16 (18) ◽  
pp. 3294 ◽  
Author(s):  
Piotr Boniecki ◽  
Małgorzata Idzior-Haufa ◽  
Agnieszka Pilarska ◽  
Krzysztof Pilarski ◽  
Alicja Kolasa-Wiecek
Keyword(s):  
Vector Quantization ◽  
Digital Images ◽  
Neural Model ◽  
Learning Vector Quantization ◽  
Neural Models ◽  
Topological Map ◽  
Compost Maturity ◽  
Feature Map ◽  
Graphic Information

Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization (LVQ) algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stages of maturation were taken in a laboratory. They were used to generate an SOFM neural topological map with centres of concentration of the classified cases. The radial neurons on the map were adequately labelled to represent five suggested quality classes describing the degree of maturation of the composted organic matter. This enabled the creation of a neural separator classifying the degree of compost maturation based on easily accessible graphic information encoded in the digital images. The research resulted in the development of original software for quick and easy assessment of compost maturity. The generated SOFM neural model was the kernel of the constructed IT system.

Classification of respiratory sounds based on wavelet packet decomposition and learning vector quantization

1998 ◽  
Vol 6 (1) ◽  
pp. 65-74 ◽  
Author(s):  
L. Pesu ◽  
P. Helistö ◽  
E. Ademovič ◽  
J.-C. Pesquet ◽  
A. Saarinen ◽  
...  
Keyword(s):  
Vector Quantization ◽  
Wavelet Packet ◽  
Learning Vector Quantization ◽  
Respiratory Sounds ◽  
Wavelet Packet Decomposition

Vector Quantization Approach to Classification of Stressed Speech

2004 ◽  
Vol 50 (4) ◽  
pp. 281-289
Author(s):  
S Ramamohan ◽  
S Dandapat
Keyword(s):  
Vector Quantization
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