Abstract The conventional way of choosing a fashion catalogue has lot drawbacks and is yet to be resolved. Struck in dilemma what choose not to, wearing items that are appropriate, lured by terms misleading such as 50 percent off limited period offer, when reality the prize was never higher first place. These flaws go under radar for humans, but case with machines. proposed system given an imag...

We extend XCS with computed prediction by replacing the usual linear prediction used in XCSF with a feedforward multilayer neural network. In XCSF with neural prediction, XCSFNN, classifier exploits a neural network to approximate the payoff surface associated to the target problem while the genetic algorithm adapts both classifier conditions, classifier actions, and the network structure. We c...

This paper presents a Neural Network Classifier to be implemented in corner detection of chain code series. The classifier directly uses chain code which is derived using Vertex chain code as training, testing and validation set. The steps of developing Neural Network Classifier are included in this paper. Comparison results between Vertex chain code Neural Network Classifier with other computa...

A resource limited immune approach (RLIA) was developed to evolve architecture and initial connection weights of multilayer neural networks. Then, with Back-Propagation (BP) algorithm, the appropriate connection weights can be found. The RLIA-BP classifier, which is derived from hybrid algorithm mentioned above, is demonstrated on SPOT multi-spectral image data, vowel data and Iris data effecti...

Current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. Application of the intelligent system for fault direction classification has been suggested in this paper. A new current directional protection scheme based on intelligent classifier is proposed for the series compensated line. The proposed classifier uses ...

MNIST database serves for comparison of different methods of handwritten digit recognition. There are many data related to different classifier recognition rates among which our neural classifier had the second place [1] (recognition rate 99.21%). At present we develop improvements of neural network structure and algorithms of handwritten digit recognition. Improved classifier has recognition r...

This paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. In the proposed scheme, flux linkage analysis is used to reach a decision. Probabilistic neural network (PNN) and discrete wavelet transform (DWT) are used in design of fault diagnosis system. PNN as main part of thi...

The aim of this article is to compare two neural classifiers applied to micro component recognition. These micro components can be used for the automation of production and assembly processes of solar concentrators. The image databases have been developed and include mixed and heaped-up micro work pieces. Two neural classifiers, the limited receptive area classifier (LIRA) and the permutation c...

The paper presents an original approach for pedestrian detection using the neural network classifier called Concurrent Self-Organizing Maps (CSOM), previously introduced by first author; it represents a winner-takes-all collection of neural modules. The algorithm has the following stages: (a) feature selection using one of the three candidate techniques Histogram of Oriented Gradients (HOG)/1D ...

A new model for a neurodynamical classifier is proposed. The classifier is viewed as a generalized bi-directional associative memory (GBAM) [11] and is described in the language of differential geometry [12-14]. GBAM is a tensor-field system resembling a two-phase biological neural oscillator in which an excitatory neural field excites an inhibitory neural field, which reciprocally inhibits the...