Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural Networks in Computer Intelligence
Neural Networks in Computer Intelligence
Backpropagation Algorithms for a Broad Class of Dynamic Networks
IEEE Transactions on Neural Networks
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This paper presents an effective application of expert system for analysis Cardiac disorder like arrhythmia. An electrocardiogram (ECG) is a bioelectrical signal which records the heart's electrical activity verses time. It is an important diagnostic tool for assessing heart functions. The technique used is feature extraction and neural network for signal analysis. The processed signal source came from the MIT-BIH arrhythmia database which was developed for research in cardiac electro-physiology. Research in the field of mathematical science and physics is concentrating more on mathematical analysis of system comprising multiple elements that interact in complex ways. These factors gave birth to a major research trend aimed at clarifying the structure and operating principle inherent in the information processing system of human being and other animals and constructing an information processing device based on these structures and operating principle. The term "Neurocomputing" is used to refer to the information engineering aspect of this research. Artificial Neural Network (ANN) has been widely accepted tool for complex decision making problems. This is a powerful tool for medical diseases decision-making. ANN has ability to take its own decision based on its trained data. This paper concludes with a discussion in analysis cardiac disorder and future usage of artificial neural networks in the area of biomedical.