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Semantic Scholar Open Access 2023 94 sitasi

Neural Networks And Machine Learning

A. Sayal Janhvi Jha C. N. Veethika Gupta Ashulekha Gupta +2 lainnya
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Abstrak

Recent years have seen an increase in the popularity of neural network (NN) research. The mammalian brain, which consists of billions of interconnected neurons, is renowned for its ability to perform computationally hard tasks, such as face recognition, body motion planning, and muscle activity control. In an effort to emulate the effectiveness of biological neural networks in learning, artificial neural networks (ANNs) were developed. The NN technique has been the topic of many studies over the last few decades, with applications in many fields including control engineering, automation, aerospace, psychology, economics, healthcare, and energy science. The objective of the discipline of machine learning is to create computers that can independently learn and improve. In this chapter, we have attempted to depict the types of neural networks and machine learning as well as their applications in different industrial disciplines such as science, commerce, and medicine.

Penulis (7)

A

A. Sayal

J

Janhvi Jha

C

C. N.

V

Veethika Gupta

A

Ashulekha Gupta

O

Omdeep Gupta

M

Minakshi Memoria

Format Sitasi

APA MLA BibTeX
Sayal, A., Jha, J., N., C., Gupta, V., Gupta, A., Gupta, O. et al. (2023). Neural Networks And Machine Learning. https://doi.org/10.1109/ICCCMLA58983.2023.10346612

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Lihat di Sumber doi.org/10.1109/ICCCMLA58983.2023.10346612
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
94×
Sumber Database
Semantic Scholar
DOI
10.1109/ICCCMLA58983.2023.10346612
Akses
Open Access ✓