34 citations · 82 across the 30 of their papers we have counts for
5 papers · 1 filter
A Distance-Deviation Consistency and Model-Independent Method to Test the Cosmic Distance-Duality Relation
C. C. Zhou, J. Hu, M. C. LI +2
A distance-deviation consistency and model-independent method to test the cosmic distance duality relation (CDDR) is provided. The method is worth attention on two aspects: firstly…
Networks with pixels embedding: a method to improve noise resistance in images classification
Yang Liu, Hai-Long Tu, Chi-Chun Zhou +2
In the task of image classification, usually, the network is sensitive to noises. For example, an image of cat with noises might be misclassified as an ostrich. Conventionally, to…
Activation functions are not needed: the ratio net
Chi-Chun Zhou, Hai-Long Tu, Yue-Jie Hou +3
A deep neural network for classification tasks is essentially consist of two components: feature extractors and function approximators. They usually work as an integrated whole, ho…
The Pade Approximant Based Network for Variational Problems
Chi-Chun Zhou, Yi Liu
In solving the variational problem, the key is to efficiently find the target function that minimizes or maximizes the specified functional. In this paper, by using the Pade approx…
Unified framework for generalized quantum statistics: canonical partition function, maximum occupation number, and permutation phase of wave function
Chi-Chun Zhou, Wu-Sheng Dai
Beyond Bose and Fermi statistics, there still exist various kinds of generalized quantum statistics. Two ways to approach generalized quantum statistics: (1) in quantum mechanics,…