Now showing items 1-6 of 6
Adapting Traffic Simulation for Traffic Management: A Neural Network Approach
Static models and simulations are commonly used in urban traffic management but none feature a dynamic element for near real-time traffic control. This work presents an artificial neural network forecaster methodology ...
Walking State Detection from Electromyographic Signals towards the Control of Prosthetic Limbs
(Proceedings of the 13th Annual Workshop on Computational Intelligence (UKCI'13), 2013-09)
This paper presents experiments in the use of an Electromyographic sensor to determine whether a person is standing, walking or running. The output of the sensor was captured and processed in a variety of different ways ...
Constructive recursive deterministic perceptron neural networks with genetic algorithms
The Recursive Deterministic Perceptron is a generalisation of the single layer perceptron neural network. This neural network can separate, in a deterministic manner, any classification problem (linearly separable or not). ...
Computational Intelligence to Improve Air Quality and Traffic Management
(THE ISSUE / NEREUS, 2013)
Computational Intelligence (CI) techniques are strong and efficient and capable of enhancing current traffic and air quality management systems.