Deep autoassociative networks
This paper introduces a refinement of autoassociative networks, called deep autoassociative networks.
autoassociative nets autonomous robots synaptic ne↗
Engineering topics
Hand, C.
Publications and source records attributed to Hand, C..
Epicenter location by analysis for interictal spikes
The MEG recording is a quick and painless process that requires no surgery. This approach has the potential to save time, reduce patient discomfort, and eliminates a painful and potentially dangerous surgical step in the treatment procedure.
epilepsy MEG interictal spikes artificial neural n↗
An improved autoassociative network for controlling autonomous robots
One promising approach to neural network controlled robotics is the use of autoassociative networks. These networks learn to move a sensor and effector vector through a plausible state-space.
autoassociative networks autonomous robots↗
Neural organization of sensor webs
This paper gives two examples of how neural organization of sensor webs works and suggests a method to apply this established techonology to the emerging technology of sensor webs.
sensor webs neural networks↗
A Pliant Synaptic Network for Signal Analysis
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Neural Networks Sensor Arrays Biomedical Biotechno↗