Asymmetric Continuous-Time Neural Networks without Local Traps for Solving Constraint Satisfaction Problems

Open Access

Peer-reviewed

Research Article

Botond Molnár,

Affiliation Faculty of Physics, Babeş-Bolyai University, Cluj-Napoca, RO-400084, Romania
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Mária Ercsey-Ravasz

* E-mail: ercsey.ravasz@phys.ubbcluj.ro

Affiliation Faculty of Physics, Babeş-Bolyai University, Cluj-Napoca, RO-400084, Romania
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About the Authors

Botond Molnár

Affiliation Faculty of Physics, Babeş-Bolyai University, Cluj-Napoca, RO-400084, Romania

Mária Ercsey-Ravasz

* E-mail: ercsey.ravasz@phys.ubbcluj.ro

Affiliation Faculty of Physics, Babeş-Bolyai University, Cluj-Napoca, RO-400084, Romania

The authors have declared that no competing interests exist.

Analyzed the data: BM. Wrote the paper: MER. Performed the computer simulations: BM. Designed the mathematical model: MER. Proved the theorems: MER.

Dynamical systems
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Neural networks
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Algorithms
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Optimization
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Recurrent neural networks
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Computers
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Computer networks
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Simulated annealing
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