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Modeling of the Hopfield neural networks in active wireless networks


V.V. Chibissov – Student, Moscow Institute of Physics and Technology

The Hopfield neural network is simulated with the help of active wireless network (AWN). AWN differs from simple wireless sensor networks by their nods, which contain not only sensors, but also active elements (actuators). The Hopfield network hardware model is built for a small number of chaotic transmitters, each integrating the evolution equations, transferring data trough the whole network and indicating its state with light diode. The realization is used for observing and investigating the neurons dynamic.


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