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In this paper, we propose a Hopfield Associative Memory with Complex-valued and Real-valued neurons (CRHAM). CRHAM is an associative memory which can perform storing and recalling multi-valued patterns. A part of neurons in the network are complex-valued neurons, and the rest of neurons are conventional (real-valued) neurons. Spurious patterns that degrade the retrieval performance can be reduced...
This paper presents Quaternionic Bidirectional Auto-Associative Memory (QBAAM) that is an associative memory network storing patterns with multiple levels. A part of neurons in the network are quaternionic neurons, where their states are encoded by quaternion, which is a four-dimensional hypercomplex number system. These neurons can represent three kinds of discretized phases, i.e., three-dimensional...
This paper explores complex-valued multilayer perceptrons (MLPs) with the mechanism of stochastic resonance (SR). SR is a phenomenon such that a weak periodic signal in the system can be enhanced and detected in the presence of noises. It is expected that the combination of complex-valued encoding and SR mechanism will improve the performance of MLPs, rather than MLPs with either of them. The performances...
In this paper, methods of selecting formulas to calculate intraocular lens (IOL) power for a cataract patient are presented, using support vector machines (SVM's) and self-organizing maps (SOM's). Each of training data has measured values associated with axial length and corneal refractive power as element values. Three IOL power formulas have variables into which these values are substituted. The...
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