Theoretical Analysis and Improved Decision Criteria for the n-Tuple Classifier
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Investigation of the Effects of Variable Vigilance within the RePART Neuro-Fuzzy Network
Journal of Intelligent and Robotic Systems
Predicting the behaviour of G-RAM networks
Neural Networks
VLSI Implementation of a Binary Neural Network-Two Case Studies
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
A high performance k-NN approach using binary neural networks
Neural Networks
Alpha-Beta Weightless Neural Networks
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
A fuzzy classifier based on correlation matrix memories
FS'09 Proceedings of the 10th WSEAS international conference on Fuzzy systems
A modified sparse distributed memory model for extracting clean patterns from noisy inputs
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Using weightless neural networks for vergence control in an artificial vision system
Applied Bionics and Biomechanics
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From the Publisher:RAM-based networks are a class of methods for building pattern recognition systems. Unlike other neural network methods, they learn very quickly and as a result are applicable to a wide variety of problems. This important book presents the latest work by the majority of researchers in the field of RAM-based networks.