Information retrieval from data sets of maximal value via analogue neural circuit identification from signal set
Using the analogue neural circuit of maximal value signals from signal set identification is proposed for information retrieval in data sets. The circuit is fast, it has simple structure and can be implemented in a modern hardware. A resolution of the circuit is theoretically infinite and it is not dependent on a value of its parameter. An average time necessary for trajectory convergence of the circuit state variable to a steady state is not dependent on a dimension of input data.