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Review
. 2018 Nov 23;4(11):e00938.
doi: 10.1016/j.heliyon.2018.e00938. eCollection 2018 Nov.

State-of-the-art in artificial neural network applications: A survey

Oludare Isaac Abiodun  1 , Aman Jantan  2 , Abiodun Esther Omolara  3 , Kemi Victoria Dada  4 , Nachaat AbdElatif Mohamed  5 , Humaira Arshad  6
Affiliations
Review

State-of-the-art in artificial neural network applications: A survey

Oludare Isaac Abiodun et al. Heliyon. .

Abstract

This is a survey of neural network applications in the real-world scenario. It provides a taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of current and emerging trends in ANN applications research and area of focus for researchers. Additionally, the study presents ANN application challenges, contributions, compare performances and critiques methods. The study covers many applications of ANN techniques in various disciplines which include computing, science, engineering, medicine, environmental, agriculture, mining, technology, climate, business, arts, and nanotechnology, etc. The study assesses ANN contributions, compare performances and critiques methods. The study found that neural-network models such as feedforward and feedback propagation artificial neural networks are performing better in its application to human problems. Therefore, we proposed feedforward and feedback propagation ANN models for research focus based on data analysis factors like accuracy, processing speed, latency, fault tolerance, volume, scalability, convergence, and performance. Moreover, we recommend that instead of applying a single method, future research can focus on combining ANN models into one network-wide application.

Keywords: Computer science.

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Figures

Fig. 1
Fig. 1
A typical human brain structure with operational capabilities.
Fig. 2
Fig. 2
A typical neural network architecture.
Fig. 3
Fig. 3
Review framework for artificial neural networks classification.
Fig. 4
Fig. 4
Two-layered feedforward neural network.
Fig. 5
Fig. 5
Feed-backward neural network.
Fig. 6
Fig. 6
Artificial intelligence development and expansion.
Fig. 7
Fig. 7
Reviewed ANN applications framework.
See this image and copyright information in PMC

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