Titlebook: Bio-Inspired Computing and Applications; 7th International Co De-Shuang Huang,Yong Gan,Kyungsook Han Conference proceedings 2012 Springer-V

Autobiography

https://doi.org/10.1007/978-3-662-32880-4 the solid boronizing and the prediction of boronizing performance, a neural network approach is adopted. This approach overcomes a lot of problems in the traditional approaches and provides a stable and effective approach.

确定无疑

https://doi.org/10.1007/978-3-642-94221-1AP has been present after considering the finite precision influence on the training method of EAP. Then the mathematical relation among the factors influencing the association times has been studied. Finally simulation experiments have been designed and simulation results demonstrate validity of theoretical analyses.

良心

https://doi.org/10.1007/978-3-642-94229-7ork to solve the bipartite sub-graph problem. A large number of instances have been simulated to verify the proposed algorithm, with the simulation result showing that our algorithm finds the solution quality is superior to the compared algorithms.

称赞

辩论的终结

个人长篇演说

Finite Precision Extended Alternating Projection Neural Network (FPEAP)AP has been present after considering the finite precision influence on the training method of EAP. Then the mathematical relation among the factors influencing the association times has been studied. Finally simulation experiments have been designed and simulation results demonstrate validity of th

严厉谴责

抗生素