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Signal processing and pattern recognition with soft computing
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PRE
AI
DOI：10.1109/5.949486.png)
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Abstract
En 中文
Signal processing and pattern recognition (SPPR) are one of the most attractive areas in applications of soft computing (SC). In this paper, we describe the overall role of SC in SPPR with specific applications to biomedical engineering, geoscience for mining and civil engineering, human interface, and image processing. Detection of characteristic points in an electrocardiogram (ECG) to implement an advanced ECG analyzer is presented, which is carried out using both conventional SPPR techniques and self-organizing neural networks. Next, successful technologies for monitoring a geostructure by supervised and self-organizing neural networks are described. Identification of a freehand drawing by a combination of fuzzy logic and neural networks is also described. Moreover application of fuzzy logic to image segmentation is presented. Finally, innovation of SPPR using SC technologies is discussed.
Keywords:
ART2
Cps detection
electrocardiogram
evolutionary computing
fractal dimension
freehand drawing
fuzzy logic
fuzzy systems
geostructure
human interface
image segmentation
MART
natural images
neural networks
region-growing algorithm
soft computing
visualization
Journal
IF:
25.9
Papers:
10.0K
Citations:
4.5W
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