Dr Nicola L. C. Talbot CMath MIMA
AboutI am an honorary lecturer in the School of Computing Sciences. My main line of work is with my publishing company Dickimaw Books.
- Support Vector Machines
- A Bayesian Approach to Food Safety
- Index Assignment for Vector Quantisation
- Comparison of Optimisation and Neural Network based Design Techniques
- Belief networks to support decisions
- Research supporting quantative risk assessments for complex food borne hazards
The placement problem was divided into three classes: quadratic assignment, force-directed placement and min-cut methods. For each class a neural and a conventional solution were implemented, and their performance analysed. It was shown that none of the neural methods used, with the possible exception of the Kohonen self-organising feature map, were better than a novel extension to a conventional algorithm developed during my research, where an optimal placement can be found from the solution to a system of linear simultaneous equations.
The investigation into filter design showed that neural networks are not well suited to continuous optimization problems, and a simple triangular interpolation algorithm generated better results.
My Ph.D. was funded by the EPSRC.School of Computing Sciences. Last Modified: 2012-10-18.