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CSV
RISComplex-valued Markov Random Field Based Feature Extraction for InSAR Images
Constrained Semi-Supervised Growing Self-Organizing Map
clustering algorithm.
In this paper, we propose CS2GS, an online CSS clustering algorithm. CS2GS is constructed by modifying the online learning process of Semi-Supervised Growing Self-Organizing Map, and converting it to an iterative...
A Taxonomy of Manufacturing Strategies and production Systems using Self-Organizing Map
developing country. To identify the common patterns Self Organizing Map (SOM) was used. Relationship between production processes and manufacturing strategies was surveyed using Crosstabs and chi square test. The results demonstrate the existence of four...
Adaptive segmentation of plant images, an integration of color space features and self-organizing maps
We developed an adaptive learning for segmentation of plant images into plant and non-plant regions. In this study, we used Kohonen\\\\\\'s self organizing map (SOM) algorithm for segmentation of plant images using image series of two complexity...
Initial Free Self-Organizing Map by Aggregation
Initialization parameters of Self-organizing map networks (SOM) have a great influence in
their final result. This is the only known problem of SOM networks. The uncertainty of
solution is resolved with the fusion...
Microwave imaging from wheel-of-time data
Analytical model for jitter in networks with IPP traffic
An empowered adaptive neuro-fuzzy inference system using self-organizing map clustering to predict mass transfer kinetics in deep-fat frying of ostrich meat plates
of the products. This paper presents a new approach
based on an adaptive neuro-fuzzy inference system (ANFIS) and self-organizing map (SOM) clustering
for more accurate predicting MC and FC during DFF of ostrich meat plates. First the data set...