Concatenated retrieval of correlated stored information in neural networks

Concatenated retrieval of correlated stored information in neural networks.

We consider a coupled map lattice defined on a hypercube in M dimensions, taken here as the information space, to model memory retrieval and information association by a neural network. We assume that both neuronal activity and spike timing may carry information. In this model the state of the network at a given time t is completely determined by the intensity y(sigma,t) with which the informat...

Information retrieval in neural networks. - I. Eigenproblems in neural networks

2014 Consideration of the eigenproblem of the synaptic matrix in Hopfield’s model of neural networks suggests to introduce a matrix built up from an orthogonal set, orthogonal to the original memories. With this new scheme, capacity storage is significantly enhanced and robustness at least conserved. Revue Phys. Appl. 22 (1987) 1321-1325 OCTOBRE 1987, PAGE Classification Physics Abstracts 42.30...

Issues in the Use of Neural Networks in Information Retrieval

Information storage and retrieval in spin-glass like neural networks

2014 The link between the structure of a neural network and its attractor states is investigated, with a view to designing associative memories based on such networks. It is shown that, for any preassigned set of states to be memorized, the parameters of the network can be completely calculated in most cases so as to guaranteee the stability of these states. The spin glass formulation of the ne...

using som neural network in text information retrieval

with the increase of the volume of information and the progress in technology, the deficiency of traditional algorithms for fast information retrieval becomes more clear. when large volumes of data are to be handled, the use of neural network as an artificial intelligent technique is a suitable method to increase the information retrieval speed. neural networks present a suitable representation...