Artificial Intelligence Techniques

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Presentation transcript:

Artificial Intelligence Techniques Applications of Neural Networks

Example Applications Analysis of data Classifying in EEG Pattern recognition in ECG EMG disease detection.

To produce a model of risk facts in heart disease. MLP used 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

Electroencephalography (EEG) 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

Input is normalise to be within the range 0 to 1. 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.

ECG – electrocardiographs – electrical signals from the heart. 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

EMG – Electromyography – muscle activity. 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 muscle- hard to see features. Applied neural network to EMG interference patterns.

Applied various different ways of presenting the pattern to the ANN. 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

ANN replaces a mathematical model of the system. 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

Combines ANN with other AI (Expert systems) 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.