A new architecture for networks of RAM-based Boolean neurons is presen
ted which, whilst retaining learning and generalisation properties pos
sessed by existing network architectures, allows for arbitrary target
patterns for pattern classes with strong convergence properties. The n
etwork architecture provides the basis for a pattern recognition syste
m capable of application in a practical environment.