During training, patterns from a training set are presented and as learning takes place the RAMs gradually adapt. RAM contents can be saved and manipulated as binary strings, this should make Logical Neural Networks ideal candidates for training using a Genetic Algorithm. Following on from previous research into Term Recognition and Extraction, this research will look at developing a connectionist based hybrid learning mechanism to recognise specific medical terms, in context, from medical corpus. Statistic and symbolic based auto-learning methods have already been developed. This will provide the basis of the evaluation.
Visual communication plays an important role in human communication and interaction.
Motion analysis offers significant advantages over the analysis of a single image. In this research, using neural networks, attempts are being made to extract relevant features from a motion sequence, which can later be used for psychological profiling purposes. Please see Janet's home site for further details. The site also includes a 'single Neuron Applet' - a useful resource for persons learning neural networks.