RAM-based neural networks for data mining applications
Kenneth I. Agehed, Age J. Eide, Thomas Lindblad, Clark S. Lindsey, Géza Székely, Joakim T. A. Waldemark, Karina E. Waldemark · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
We discuss possible new hardware and software techniques for handling very large databases such as image archives. In particular, we investigate how high capacity solid-state 'disks' could be used to speed the database processing by algorithms that require considerable memory space. One such algorithm, for example, called the RAM neural network, or weightless neural network, needs a number of large lookup tables to perform most efficiently. The solid state disks could provide fast storage both for the algorithm and the data. We also briefly discuss development of an algorithm to cluster images of similar objects. This algorithm could also benefit from a large cache of fast memory storage.