Article
Version 1
This version is not peer-reviewed
It May Be Time to Perfect the Neuron of Artificial Neural Network
Version 1
: Received: 13 June 2020 / Approved: 14 June 2020 / Online: 14 June 2020 (14:32:10 CEST)
How to cite: Liu, G. It May Be Time to Perfect the Neuron of Artificial Neural Network. Preprints 2020, 2020060175 Liu, G. It May Be Time to Perfect the Neuron of Artificial Neural Network. Preprints 2020, 2020060175
Abstract
In recent years, artificial neural networks (ANNs) have won numerous contests in pattern recognition, machine learning, and artificial intelligence. The basic unit of an ANN is to mimic neurons in the brain. Neuron in ANNs is expressed as f (wx+b) or f (wx). This structure does not consider the information processing capabilities of dendrites. However, recently, studies shown that dendrites participate in pre-calculation in the brain. Concretely, biological dendrites play a role in the pre-processing to the interaction information of input data. Therefore, it is time to perfect the neuron of the neural network. This paper, add dendrite processing section, presents a novel artificial neuron, according to our previous studies (CR-PNN or Gang transform). The dendrite processing section can be expressed as . Because I perfected the basic unit of ANNs— neuron, there are so many networks to try. This article gives the basic architecture for reference in future research.
Keywords
neural network; neuron; CR-PNN; Gang transform
Subject
Computer Science and Mathematics, Computer Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (1)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
Commenter:
The commenter has declared there is no conflict of interests.
1.Do this research for interest.
2.The study will not be submitted to a journal. Thus, I retain the copyright to this research.
3. You can quote my research and apply Gang neuron to your study.
4. The study will continue to be updated in the future. If your research using Gang neuron interests me, I will quote yours and update the version.
5.Welcome to follow me. Some information can be found on my github (later updated).
https://github.com/liugang1234567/Gang-neuron