Artificial Neural Network: Understanding the Basic Concepts without Mathematics.
10.12779/dnd.2018.17.3.83
- Author:
Su Hyun HAN
1
;
Ko Woon KIM
;
SangYun KIM
;
Young Chul YOUN
Author Information
1. Department of Neurology, Chung-Ang University College of Medicine, Seoul, Korea. neudoc@cau.ac.kr
- Publication Type:Review
- Keywords:
Machine Learning;
Artificial Intelligence;
Neural Networks;
Deep Learning
- MeSH:
Artificial Intelligence;
Humans;
Machine Learning;
Mathematics*;
Neurons
- From:Dementia and Neurocognitive Disorders
2018;17(3):83-89
- CountryRepublic of Korea
- Language:English
-
Abstract:
Machine learning is where a machine (i.e., computer) determines for itself how input data is processed and predicts outcomes when provided with new data. An artificial neural network is a machine learning algorithm based on the concept of a human neuron. The purpose of this review is to explain the fundamental concepts of artificial neural networks.
