期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2018
卷号：7
期号：2
页码：126-134
出版社：IJCSN publisher
摘要：Artificial Neural Networks are well known for their prediction capability that can simulate human expertise efficiently.Generally Hybrid Neural networks are popular for their greater performance over other popular neural networks. On the other handeach and every Neural Networks has high dependency on the behavior of prediction dataset. This research tries to find out theconstraint application of Neuro-Fuzzy Networks. A Comparative analysis is made to envision, the prediction capability of ArtificialNeural Networks on dielectric properties of TbMnO3 ceramics doped with Bi and Fe ions in Dielectric Constant prediction wherefeed forward back propagation networks outperforms the capability of Neuro-Fuzzy Networks.
