A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Neural Network World
Designing a wavelet neural network (WNN) needs to be done judiciously in attaining the optimal generalization performance. Its prediction competence relies highly on the initial value of translation vectors. However, there is no established solution in determining the appropriate initial value for the translation vectors at this moment. In this paper, we propose a novel enhanced fuzzy c-means clustering algorithm -specifically, the modified point symmetry-based fuzzy c-means (MPSDFCM) algorithmdoi:10.14311/nnw.2012.22.025 fatcat:gltiwsdak5h5nak75j4rlk3o2e