Associative neural memories
Complex-valued multistate neural associative memory
IEEE Transactions on Neural Networks
Neural associative memory storing gray-coded gray-scale images
IEEE Transactions on Neural Networks
A new design method for the complex-valued multistate Hopfield associative memory
IEEE Transactions on Neural Networks
Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons
IEEE Transactions on Neural Networks
| Hi-index | 0.00 |
In this paper a new design procedure for Hopfield associative memories storing grey-scale images is presented. The proposed architecture, with both intra-layer and inter-layer connections, is an evolution of a previous work based on the decomposition of the image with 2L gray levels into L binary patterns, stored in L uncoupled neural networks: that allows to store images with the commonly used number of 256 gray levels. The learning algorithm, used to store the binary images, guarantees asymptotic stability of the stored patterns, has a low computational cost, and allows to control the precision of the connection weights.