State-of-the-art in Artificial Neural Network Applications: A Survey

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.

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APA

Abiodun, E. (2018). State-of-the-art in Artificial Neural Network Applications: A Survey. Afribary. Retrieved from https://tracking.afribary.com/works/state-of-the-art-in-artificial-neural-network-applications-a-survey

MLA 8th

Abiodun, Esther "State-of-the-art in Artificial Neural Network Applications: A Survey" Afribary. Afribary, 28 Dec. 2018, https://tracking.afribary.com/works/state-of-the-art-in-artificial-neural-network-applications-a-survey. Accessed 10 Nov. 2024.

MLA7

Abiodun, Esther . "State-of-the-art in Artificial Neural Network Applications: A Survey". Afribary, Afribary, 28 Dec. 2018. Web. 10 Nov. 2024. < https://tracking.afribary.com/works/state-of-the-art-in-artificial-neural-network-applications-a-survey >.

Chicago

Abiodun, Esther . "State-of-the-art in Artificial Neural Network Applications: A Survey" Afribary (2018). Accessed November 10, 2024. https://tracking.afribary.com/works/state-of-the-art-in-artificial-neural-network-applications-a-survey

Document Details
By: Esther Abiodun Field: Computer Science Type: Article/Essay 41 PAGES (15017 WORDS) (pdf)