Activity-Conserving Dynamics for Optimisation Networks
نویسندگان
چکیده
A novel type of dynamics conserving activity in neural networks is presented. We distinguish stochastic and deterministic activity-conserving dynamics. As an example, deterministic (mean-eld) activity-conserving dynamics is applied to the N-queens problem. The new dynamics are more succesful in nding valid solutions than the standard dynamics.
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