Search for dissertations about: "artificial neural network and pattern recognition"
Showing result 1 - 5 of 10 swedish dissertations containing the words artificial neural network and pattern recognition.
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1. Modeling prediction and pattern recognition in the early visual and olfactory systems
Abstract : Our senses are our mind's window to the outside world and determine how we perceive our environment.Sensory systems are complex multi-level systems that have to solve a multitude of tasks that allow us to understand our surroundings. READ MORE
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2. Analysis of Electrocardiograms Using Artificial Neural Networks
Abstract : Most conventional ECG interpretation programs use decision tree logic for interpretation of the ECG. The performance is generally good but can be improved. Artificial neural networks represent a new computer method, which has proved to be of value in pattern recognition and classification tasks. READ MORE
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3. Electromyogram Signal Enhancement and Upper-Limb Myoelectric Pattern Recognition
Abstract : Losing a limb causes difficulties in our daily life. To regain the ability to live an independent life, artificial limbs have been developed. Hand prostheses belong to a group of artificial limbs that can be controlled by the user through the activity of the remnant muscles above the amputation. READ MORE
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4. Vector Symbolic Architectures and their applications : Computing with random vectors in a hyperdimensional space
Abstract : The main focus of this thesis lies in a rather narrow subfield of Artificial Intelligence. As any beloved child, it has many names. The most common ones are Vector Symbolic Architectures and Hyperdimensional Computing. READ MORE
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5. On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network
Abstract : The aim of this thesis is to describe how a statisticallybased neural network technology, here named BCPNN (BayesianConfidence Propagation Neural Network), which may be identifiedby rewriting Bayes' rule, can be used within a fewapplications, data mining and classification with credibilityintervals as well as unsupervised pattern recognition.BCPNN is a neural network model somewhat reminding aboutBayesian decision trees which are often used within artificialintelligence systems. READ MORE