Artificial Intelligence Techniques Applications of Neural Networks Example

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Artificial Intelligence Techniques Applications of Neural Networks

Artificial Intelligence Techniques Applications of Neural Networks

Example Applications n n Analysis of data Classifying in EEG Pattern recognition in ECG

Example Applications n n 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

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 n n n To produce a model of risk facts in heart disease. MLP used The accuracy was relatively good for chlorestremia and triglyceremdia: n n n 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

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 n Electroencephalography (EEG) n n Recordings of electrical activity from the brain. Classifying operation n Awake Drowsy Sleep

n MLP n n 15 -23 -3 Hidden layer – log-tanh function Output layer

n MLP n n 15 -23 -3 Hidden layer – log-tanh function Output layer – log-sigmoid function Input is normalise to be within the range 0 to 1.

n Accuracy n n 95%+/-3% alert 93%+/-4% drowsy 92+/-5% sleep Feature were extracted and

n Accuracy n n 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

Karsten Sternickel (2002) Automatic pattern recognition in ECG time series Computer Methods and Programs in Biomedicine 68 109 – 115 n n 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.

Abel et al (1996) Neural network analysis of the EMG interference pattern Med. Eng. Phys. Vol. 18, No. 1. pp. 12 -l 7 n n n 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.

n Classifying n n n Nerve disease Muscle disease Controls Applied various different ways

n Classifying n n n 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 n n Wave prediction Controlling a vehicle Image processing Condition monitoring

Example Applications n n Wave prediction Controlling a vehicle Image processing Condition monitoring

Wave prediction n n Raoa S, Mandal S(2005) Hindcasting of storm waves using neural

Wave prediction n n 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

van de Ven P, Flanagan C, Toal D (in press) Neural network control of underwater vehicles Engineering Applications of Artificial Intelligence n n n Semiautomous vehicle Control using ANN replaces a mathematical model of the system.

Kuo RJ, et al (in press) Part family formation through fuzzy ART 2 neural

Kuo RJ, et al (in press) Part family formation through fuzzy ART 2 neural network Decision Support Systems n n 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

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 n n Modelling tool wear Combines ANN with other AI (Expert systems) Self organising Maps (SOM) and ART 2 investigated SOM better for extracting the required information.