نتایج جستجو برای: ann classifier
تعداد نتایج: 68429 فیلتر نتایج به سال:
The electrocardiogram (ECG) is a representative signal containing information about the condition of the heart. The shape and size of the P-QRS-T wave, the time intervals between its various peaks etc. may contain useful information about the nature of disease afflicting the heart. However, these subtle details can not be directly monitored by the human observer. Besides, since bio-signals are ...
In this paper we present a technique to detect masses from digital mammograms using Artificial Neural Network (ANN), which performs malignant-normal classification on region of interest (ROI) that contains mass. The major mammographic characteristics for mass classification are Intensity, Shape and Texture. ANN exploits all such type of important factor to classify the mass into malignant or no...
A neurological disorder called Epilepsy which causes the sudden occurrence of epileptic seizures. The electroencephalogram (EEG) is recorded electrical activities brain to examine patient through EEG pattern for diagnosis. Epileptic seizure one abnormality or in patterns shows large spikes specific time domain area. This work mainly focused on detecting seizures extracted feature like Higuchi F...
Machine Learning Algorithms are employed in characterization, pattern recognition, and prediction. A hybrid model helps reducing the computational complexity, improves accuracy, results an effective method for classification. The misclassification of individual classifier is often excluded a classifier. objective this research was to develop classification Artificial Neural Network non-linear k...
In this research, a system is proposed for detecting fertility of eggs. The system is composed of two parts: hardware and software. The fabricated hardware provides a platform to obtain accurate images from inner side of the eggs, without harming their embryos. The software part includes a set of image processing and machine vision processes, which is able to detect the fertility of eggs from c...
In this paper, a novel approach to Arabic letter recognition is proposed. The system is based on the classified vector quantization (CVQ) technique employing the minimum distance classifier. To prove the robustness of the CVQ system, its performance is compared to that of a standard artificial neural network (ANN)-based solution. In the CVQ system, each input letter is mapped to its class using...
This paper presents a new approach for feature reduction by using orthogonal rotations. Wavelet coefficients for beat segments are taken as features which are reduced by factor analysis method using orthogonal rotations. LDA (Linear Discriminant Analysis) and ANN (Artificial Neural Network) classifiers are used for classification. The signals are taken from MIT-BIH arrhythmia database to classi...
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