The convergence and termination criterion of quantum-inspired evolutionary neural networks.
Fengmao LvGuowu YangWenjing YangXiaosong ZhangKenli LiPublished in: Neurocomputing (2017)
Keyphrases
- quantum inspired
- evolutionary neural networks
- binary gravitational search algorithm
- evolutionary programming
- quantum computing
- mutation operator
- immune clonal
- convergence rate
- genetic algorithm
- inverted pendulum
- convergence speed
- initial conditions
- levenberg marquardt
- ant colony algorithm
- global optimization
- computational intelligence
- artificial neural networks
- objective function