神经工程实用自适应算法

L. Kirkland, J. D. Wiederholt
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引用次数: 0

摘要

神经工程实用自适应算法(NEUWAA)是一种基于机器的自动测试设备智能系统,它将各种技术集成到自适应故障检测环境中。计算机的增强和数学算法允许使用人机和智能应用程序。人机界面通过提供最先进的自适应算法来优化测试环境,以简化测试序列和诊断。NEUWAA采用最先进的诊断方法,结合自组织进化,在任何级别提供有效的测试环境。突出显示的视觉图像与被测设备的对话提供交互式故障隔离,包括引导探针序列,以简化故障/诊断。该系统与所有其他标准软件包完全可互操作。本文概述了自适应算法系统在神经工程中的应用,包括其各种特点及其创建所涉及的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural engineering utility with adaptive algorithms
The neural engineering utility with adaptive algorithms (NEUWAA) is a machine-based intelligence system for automatic test equipment, which integrates various technologies in an adaptive fault-detection environment. Computer enhancements and mathematical algorithms allow for the use of man-machine and intelligent applications. The human/machine interface optimizes the test environment by providing state-of-the-art adaptive algorithms to streamline test sequences and diagnostics. NEUWAA employs state-of-the-art diagnostics methodologies coupled with self-organizing evolution to provide an efficient test environment at any level. Highlighted visual images with dialogue of the unit under test provide interactive fault-isolation including guided-probe sequences to streamline fault/diagnosis. The system is completely interoperable with all other standard software packages. This paper outlines the neural engineering utility with adaptive algorithms system including its various characteristics and the techniques involved in its creation.<>
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