Short term memory is indispensable for the processing of time varying information with artificial neural networks. In this paper a model for linear memories is presented, and ways to include memories in connectionist topologies are discussed. A comparison is drawn among different memory types, with indication of what is the salient characteristic of each memory model.
['Jose C. Principe', 'Hui-Huang Hsu', 'Jyh-Ming Kuo']
Analysis of Short Term Memories for Neural Networks