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Artificial Intelligence Techniques Applications of Neural Networks Example Applications     Analysis of data Classifying in EEG Pattern recognition in ECG EMG disease detection. Gueli N et al (2005) The influence of lifestyle on cardiovascular risk factors analysis using a neural network Archives of Gerontology and Geriatrics 40 157–172    To produce a model of risk facts in heart disease. MLP used The accuracy was relatively good for chlorestremia and triglyceremdia:    Training phase around 99% Testing phase around 93% Not so good for HDL Subasi A (in press) Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients Expert Systems with Applications xx (2004) 1–11  Electroencephalography (EEG)   Recordings of electrical activity from the brain. Classifying operation    Awake Drowsy Sleep  MLP     15-23-3 Hidden layer – log-tanh function Output layer – log-sigmoid function Input is normalise to be within the range 0 to 1.  Accuracy     95%+/-3% alert 93%+/-4% drowsy 92+/-5% sleep Feature were extracted and form the input to the network, from wavelets. Karsten Sternickel (2002) Automatic pattern recognition in ECG time series Computer Methods and Programs in Biomedicine 68 109–115     ECG – electrocardiographs – electrical signals from the heart. Wavelets again. Classification of patterns Patterns were spotted Abel et al (1996) Neural network analysis of the EMG interference pattern Med. Eng. Phys. Vol. 18, No. 1. pp. 12-l 7    EMG – Electromyography – muscle activity. Interference patterns are signals produce from various parts of a musclehard to see features. Applied neural network to EMG interference patterns.  Classifying      Nerve disease Muscle disease Controls Applied various different ways of presenting the pattern to the ANN. Good for less serve cases, serve cases can often be see by the clinician. Example Applications     Wave prediction Controlling a vehicle Image processing Condition monitoring Wave prediction     Raoa S, Mandal S(2005) Hindcasting of storm waves using neural networks Ocean Engineering 32 (2005) 667–684 MLP used to predict storm waves. 2:2:2 network Good correlation between ANN model and another model van de Ven P, Flanagan C, Toal D (in press) Neural network control of underwater vehicles Engineering Applications of Artificial Intelligence    Semiautomous vehicle Control using ANN ANN replaces a mathematical model of the system. Kuo RJ, et al (in press) Part family formation through fuzzy ART2 neural network Decision Support Systems   Image recognition of part Deals with the shifting of the part Silva et al (2000) THE ADAPTABILITY OF A TOOL WEAR MONITORING SYSTEM UNDER CHANGING CUTTING CONDITIONS Mechanical Systems and Signal Processing (2000) 14(2), 287-298     Modelling tool wear Combines ANN with other AI (Expert systems) Self organising Maps (SOM) and ART2 investigated SOM better for extracting the required information.