Implementation of Hopfield Neural Network using Double Gate MOSFET: Subtitle

Chaotic phenomenon has a good ability to search for an optimal solution of a problem with many local minima. The current work uses the chaos theory with focus on electrical circuits. Chua?s circuit is a good example to demonstrate the type of non- linearity in the electrical circuit which causes chaos.The opamp based hysteresis neuron model is implemented and its stability is explained. Stability criterion of the network can be used as a cost function and when the network reaches its stable point, this corresponds to a solution. This is explained in regards to N-queens problem.The circuit topology for solving 8-queens problem is proposed that can be extended to N-queens.The hysteresis neuron model is implemented using the double gate MOSFET. Once we are able to build this analog circuit representation of the network, the solution can be obtained in a constant time irrespective of the network size.