Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Efficient evolution of neural networks through complexification
Efficient evolution of neural networks through complexification
Analysis of energy conservation in sensor networks
Wireless Networks
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
AINA '07 Proceedings of the 21st International Conference on Advanced Networking and Applications
Efficient evolution of neural network topologies
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Real-time Automated Visual Inspection using Mobile Robots
Journal of Intelligent and Robotic Systems
Evolving a dynamic predictive coding mechanism for novelty detection
Knowledge-Based Systems
Dynamic Model Selection With its Applications to Novelty Detection
IEEE Transactions on Information Theory
IEEE Communications Magazine
Stability analysis of dynamical neural networks
IEEE Transactions on Neural Networks
An adaptive ensemble classifier for mining concept drifting data streams
Expert Systems with Applications: An International Journal
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Novelty detection, identifying significant deviations in a systems behaviour, is important in many applications. However, what constitutes novelty is inherently application-specific. Therefore, many existing approaches to novelty detection focus on specific scenarios. Furthermore, approaches shown to generalise over different applications typically require application-specific parameters to be chosen. We propose a system which constructs novelty detectors for specific applications. Neural network-based detectors, with properties taken from dynamic predictive coding, are constructed with methods based on NeuroEvolution of Augmenting Topologies (NEAT). We demonstrate the system over two use-cases, where it outperforms a specialist approach in each case.