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 cardiovascularrisk 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 muscle- hard 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 vehiclesEngineering 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.