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1 July 1992 Attractor neural networks with global and local dilution of weights
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Abstract
We consider the generalization ability of dilute (partially connected) attractor neural networks. The generalization probability is considered for two types of dilution: networks in which the dilution is fixed before learning (local dilution) and networks in which the connectivity is decided during learning so as to optimize the storage capacity (global dilution).
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Colin Campbell "Attractor neural networks with global and local dilution of weights", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); https://doi.org/10.1117/12.140144
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