More interesting, however was the choice of the ``pattern recognition'' software. After some consideration, the decision reached was to examine two of the learning approaches concurrently -- instance-based learning techniques and symbolic learning algorithms, with a strong emphasis on extracting features from the data using conventional data processing techniques, rather than trying to feed the raw data to these algorithms.
This approach was adopted for a number of reasons: