Document Type
Article
Publication Title
Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning
Abstract
This chapter first provides an overview with examples of what neural networks (NN), machine learning (ML), and artificial intelligence (AI) are and their applications in biomedical and business situations. The characteristics of 29 types of neural networks are provided including their distinctive graphical illustrations. A survey of current open-source software (OSS) for neural networks, neural network software available for free trail download for limited time use, and open-source software (OSS) for machine learning (ML) are provided. Characteristics of artificial intelligence (AI) technologies for machine learning available as open source are discussed. Illustrations of applications of neural networks, machine learning, and artificial intelligence are presented as used in the daily operations of a large internationally-based software company for optimal configuration of their Helix Data Capacity system.
DOI
10.4018/978-1-7998-8455-2.ch001
Publication Date
2022
ISBN
9781799884552
Recommended Citation
Segall, Richard S., "Overview of Multi-Factor Prediction Using Deep Neural Networks, Machine Learning, and Their Open-Source Software" (2022). Faculty Publications. 20.
https://arch.astate.edu/busn-isba-facpub/20
