With the growth of statistical modeling in the ecological sciences, researchers are using more complex methods, such as artificial neural networks (ANNs), to address problems associated with pattern recognition and prediction. Although in many studies ANNs have been shown to exhibit superior predictive power compared to traditional approaches, they have also been labeled a ‘‘black box’’ because...

Interest in the area of pattern recognition has been increasing rapidly due to emerging applications, which are not only challenging but also demanding. Feature extraction is a special form of dimensionality reduction in pattern recognition. Our goal is to introduce a simple feature extraction technique for pattern recognition. Pattern recognition is the study of how machines can observe the en...

New approaches like neural networks and fuzzy sets have been used more and more in pattern recognition during recent years. In this article, neural network and fuzzy clustering algorithms are compared to the traditional clustering algorithm.

Pattern Recognition is the process to classify data or patterns based on either a priori knowledge or on statistical information extracted from the patterns. An audio pattern recognition problem is based on speech patterns spoken, which can be interpreted as speaker dependent or speaker independent. Artificial Neural Network (ANN) is information processing machine learning model, inspired by bi...

multivariate control charts such as hotelling`s t^ 2 and x^ 2 are commonly used for monitoring several related quality characteristics. these control charts use correlation structure that exists between quality characteristics in an attempt to improve monitoring. the purpose of this article is to discuss some issues related to the g chart proposed by levinson et al. [9] for detecting shifts in ...

An iris pattern recognition system is developed for CASIA database using Singular Value Decomposition transform as a tool for feature extraction. Experimental prototype pattern recognition (PR) system is designed in which iris images of ten different persons are given as input to the system. After localizing region of interest (ROI), features are extracted with respect to image statistics, text...

The continuous detection and correction of unnatural process behaviours, due to special causes of variations, is a basic task in manufacturing systems to maintain any process stable and predictable. This difficult task is generally carried out by human experts. In this paper, a contribution is given to provide an intelligent tool to production analysts by synthesizing a Cellular Neural Network ...

Writer identi"cation is carried out using handwritten text. The feature vector is derived by means of morphologically processing the horizontal pro"les (projection functions) of the words. The projections are derived and processed in segments in order to increase the discrimination e$ciency of the feature vector. Extensive study of the statistical properties of the feature space is provided. Bo...