具有相互影響之遞迴式自我演化類神經模糊系統及其應用

In the work of Qian and Sejnowski a window of 13 secondary structure predictions is used as input to a fully connected structure-structure network with 40 hidden units.. Thus,

The remaining positions contain //the rest of the original array elements //the rest of the original array elements.

Pascanu et al., “On the difficulty of training recurrent neural networks,” in ICML, 2013..

• Information retrieval : Implementing and Evaluating Search Engines, by Stefan Büttcher, Charles L.A.

This study proposed the Minimum Risk Neural Network (MRNN), which is based on back-propagation network (BPN) and combined with the concept of maximization of classification margin

To solve this problem, this study proposed a novel neural network model, Ecological Succession Neural Network (ESNN), which is inspired by the concept of ecological succession

蔣松原，1998，應用 應用 應用 應用模糊理論 模糊理論 模糊理論

Kuo, R.J., Chen, C.H., Hwang, Y.C., 2001, “An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and