2010
DOI: 10.1007/978-3-642-13365-7_14
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Pattern Recognition Using Artificial Neural Network: A Review

Abstract: Abstract. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used in practice. More recently, artificial neural network techniques theory have been receiving increasing attention. The design of a recognition system requires careful attention to the following issues: definition of pattern classes, sensing environment, pattern representation, feature extraction and selection, cluster analysis, classifier desi… Show more

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Cited by 41 publications
(15 citation statements)
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“…For classification with artificial neural network (Kim, 2010; Saravanana and Sasithra, 2014; Aboukarima et al, 2015), a feedforward neural network with 3–15 hidden layers is used. All leaf samples are mixed together at first.…”
Section: Resultsmentioning
confidence: 99%
“…For classification with artificial neural network (Kim, 2010; Saravanana and Sasithra, 2014; Aboukarima et al, 2015), a feedforward neural network with 3–15 hidden layers is used. All leaf samples are mixed together at first.…”
Section: Resultsmentioning
confidence: 99%
“…Artificial neural network models are generic non-linear function approximation algorithms that are capable of computing, predicting, and classifying data (Ali et al, 2016). They have been widely used in applications including pattern recognition, classification, and regression in various fields (Hong et al, 2004; Kim, 2010; Zain et al, 2012; Neto et al, 2017). ANN refers to a multi-layer network structure that consists of an input layer, an output layer, and one or more hidden layers (Kimes et al, 1998).…”
Section: Regression Techniquesmentioning
confidence: 99%
“…Thus, the dependency on the GCS-UAV communication performance can be reduced. The artificial intelligence algorithms can deal with the basic flight control issues [88], [89], path planning problems [90], [91] of the UAVs themselves, as well as some mission-related problems, such as the machine vision [92], pattern recognition [93] especially when executing reconnaissance and tracking missions. What the artificial intelligence algorithms bring to the UAVs is the ability to learn and utilize the experiences and knowledge, which makes the UAVs think and behave like a human.…”
Section: (C) Intelligent Algorithmsmentioning
confidence: 99%