以函數鏈結為基礎之類神經模糊網路及其應用

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,

Deep learning usually refers to neural network based model.. Shallow – Speech Recognition. ◉

3. Works better for some tasks to use grammatical tree structure Language recursion is still up to debate.. Recursive Neural Network Architecture. A network is to predict the

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

In order to improve the aforementioned problems, this research proposes a conceptual cost estimation method that integrates a neuro-fuzzy system with the Principal Items

蔣松原，1998，應用 應用 應用 應用模糊理論 模糊理論 模糊理論

The purpose of this thesis is to propose a model of routes design for the intra-network of fixed-route trucking carriers, named as the Mixed Hub-and-Spoke