使用深度神经网络、机器学习及其开源软件的多因素预测概述

R. Segall
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引用次数: 0

摘要

本章首先概述了神经网络(NN)、机器学习(ML)和人工智能(AI)是什么,以及它们在生物医学和商业环境中的应用。提供了29种类型的神经网络的特征,包括它们的独特图形插图。提供了当前神经网络开源软件(OSS)的调查,神经网络软件可免费试用下载有限时间使用,以及机器学习(ML)开源软件(OSS)。讨论了开源机器学习的人工智能(AI)技术的特点。介绍了神经网络、机器学习和人工智能在一家大型国际软件公司的日常运营中的应用,以优化其Helix数据容量系统的配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overview of Multi-Factor Prediction Using Deep Neural Networks, Machine Learning, and Their Open-Source Software
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.
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