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Review
. 2018 Sep;17(3):83-89.
doi: 10.12779/dnd.2018.17.3.83. Epub 2018 Dec 13.

Artificial Neural Network: Understanding the Basic Concepts without Mathematics

Su-Hyun Han  1 , Ko Woon Kim  2 , SangYun Kim  3 , Young Chul Youn  1
Affiliations
Review

Artificial Neural Network: Understanding the Basic Concepts without Mathematics

Su-Hyun Han et al. Dement Neurocogn Disord. 2018 Sep.

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.

Keywords: Artificial Intelligence; Deep Learning; Machine Learning; Neural Networks.

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Conflict of interest statement

Conflict of Interest: The authors have no financial conflicts of interest.

Figures

Fig. 1
Fig. 1. A graph of a cost function (modified from https://rasbt.github.io/mlxtend/user_guide/general_concepts/gradient-optimization/).
Fig. 2
Fig. 2. A step function and a sigmoid function.
Fig. 3
Fig. 3. Input and output of information from neurons.
Fig. 4
Fig. 4. (A) Biological neural network and (B) multi-layer perception in an artificial neural network.
Fig. 5
Fig. 5. The connections and weights between neurons of each layer in an artificial neural network.
Fig. 6
Fig. 6. Back propagation of error for updating the weights.
See this image and copyright information in PMC

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