Title :
Optimization of SF/sub 6/ circuit breaker based on chaotic neural network
Author :
Cao, Yundong ; Liu, Shixun ; Liu, Xiaoming
Author_Institution :
Sch. of Electr. Eng., Shenyang Univ. of Technol.
fDate :
4/1/2006 12:00:00 AM
Abstract :
The chaotic mechanism has been introduced to optimize the electric apparatus in this paper. By combining the chaotic mechanism and artificial neural network (ANN), the chaotic Hopfield neural network (CHNN) has been established, and applied to solve the optimum problem of the demonstrated examples. From the simulation results, it can be found that the proposed CHNN can be employed to solve the optimization problems with multivariables and complex energy function. Furthermore, a novel optimum algorithm for optimizing the electric apparatus has been provided
Keywords :
Hopfield neural nets; SF6 insulation; chaos; circuit breakers; circuit optimisation; SF6 circuit breaker; artificial neural network; chaotic Hopfield neural network; chaotic neural network; complex energy function; electric apparatus optimization; Artificial intelligence; Artificial neural networks; Chaos; Circuit breakers; Equations; Hopfield neural networks; Logic; Neural networks; Optimization methods; Simulated annealing; ANN; chaos; logic mapping; optimization;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2006.872474
