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In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a b s t r a c t This paper deals with the strategies for feature selection and(More)
In literature improvements in neural learning iirc rcportcd on, which have been achieved through input diitii m;inipuliition, based on entirely experimental studies. Theorcticzil background is not supplied for these studies and neural networks are employed as a " black box " model. Within this work, this problem is highlighted and the impact of the modified(More)
In this paper, we propose two new frameworks, so as to boost the feature selection algorithms in a way that the selected features will be more informative in terms of class-separability. In the first framework, features that are more informative in discriminating an emotional class from the rest of the classes are favoured for selection by the feature(More)
The work explores the use of Hopfield neural network for a constrained economic dispatch problem with prohibited operating zones. Yalcinoz and Short 11 I discussed a special methodology to improve the performance of Hopfield networks for solving the unconstrained economic dispatch problem. I n this paper the improved Hopfield network is applied to the(More)
Operating at absolute minimum cost can no longer be the only criterion for dispatching electric power due to increasing concern the environmental consideration. The environmentally constrained economic dispatch problem which accounts for minimization of both cost and emission is a multiple objective function problem. In this paper, an improved Hopfield(More)
Color detection is generally a primary stage in most of the image processing application, if the application is based on the color information, such as road sign detection, face detection, skin color detection, object detection and object tracking etc. As the performance of subsequent modules in an image processing application is adversely affected by the(More)
In this study, a new method based on genetic algorithm and neural networks for determining licence plate location is proposed. The effect of genetic algorithm parameters on the quality of solutions is investigated. The method is able to successfully locate a licence plate in avearge 40 msn, on the image of 768x288 size. This score is 200 times quicker(More)
In this paper, a new improved plate detection method which uses genetic algorithm (GA) is proposed. GA randomly scans an input image using a fixed detection window repeatedly, until a region with the highest evaluation score is obtained. The performance of the genetic algorithm is evaluated based on the area coverage of pixels in an input image. It was(More)