Colin Fyfe Bücher

The book presents a decade of research focused on a specific architecture for artificial neural networks, emphasizing negative feedback and Hebbian learning. Originating from the author's PhD thesis at the University of Strathclyde, the work has evolved through collaborations with PhD students at the University of Paisley. Key contributions from various researchers are highlighted in dedicated chapters, exploring single stream artificial neural networks and their applications. The collaborative nature of the research underscores the ongoing development of this innovative approach in computational intelligence.

The IDEAL conference serves as a prominent interdisciplinary forum for experts, researchers, and practitioners across various fields to engage with leading academics and industries in machine learning, information processing, data mining, and more. This volume features papers presented at the 11th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2010), held from September 1–3, 2010, at the University of the West of Scotland's Paisley campus, near Glasgow. All submissions underwent rigorous peer review by the Programme Committee, ensuring that only high-quality, novel papers were accepted. The conference continues to evolve, showcasing a diverse array of topics classified by technique, aim, or application. Techniques discussed include evolutionary algorithms, artificial neural networks, and particle swarm optimization. Aims encompass regression, classification, clustering, and general data mining. Applications range from biological information processing and text processing to physical systems control, video analysis, and time series analysis. This collection reflects the latest advancements and research in intelligent data engineering and automated learning, contributing to the ongoing dialogue in these dynamic fields.