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Neural computation in urology: An orientation

机译：泌尿外科中的神经计算：方向

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摘要

Neural computation is a field in which mathematical models are derived from algorithms based loosely on the physiological function of the biological neuron. This paper serves as an introduction to those that follow in this issue of Molecular Urology, which describe actual applications of neural computational modeling in the urologic domain. In this introductory paper, the history of computer technology and the foundations of neural computation are discussed. Methods of determining the accuracy of computation models are reviewed, and a statistical method of evaluating the significance of individual input features to the model's output, a process known as feature extraction, computational programs are cited for those readers interested in applying this technology to their own datasets, and a brief description of the author's neural computational programming environment is included. Finally, deployment of computational models via the Internet and various computer platforms is discussed.
机译：神经计算是一个领域，其中数学模型是从松散地基于生物神经元的生理功能的算法中得出的。本文是本期《分子泌尿外科》后续文章的简介，描述了神经计算模型在泌尿外科领域的实际应用。在这篇介绍性文章中，讨论了计算机技术的历史以及神经计算的基础。审查了确定计算模型准确性的方法，并为那些有兴趣将这种技术应用于自己的读者引用了一种统计方法，该方法用于评估各个输入特征对模型输出的重要性，一种称为特征提取的过程，计算程序。数据集，并包括作者的神经计算编程环境的简要说明。最后，讨论了通过Internet和各种计算机平台部署计算模型。

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