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首页> 外文会议>IASTED International Conference on Artificial Intelligence and Soft Computing >Design an expert system (ES) and artificial neural network (ANN) for functional test and repair of color television (CTV)
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Design an expert system (ES) and artificial neural network (ANN) for functional test and repair of color television (CTV)

机译：设计专家系统和人工神经网络（ANN），用于彩色电视功能测试和修复（CTV）

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One of the most powerful tools in manufacturing is the use of Expert Systems (ES) and Artificial Neural Network (ANN) as one of the new high technology techniques. It leads to increase and improve the quality of product and thereby supporting the courage for competition. An (ES) was design to be implemented for actual production line (online) of color television (CTV). It is capable to analyze and determine the cause (so repair) of (10) main categories' faults by executing one of ten subroutines. This (ES) based on (IF ...THEN) rule as a knowledge base, and QBASIC software (MASTER. BAS) program was created as a shell (tools). Hereafter is the link between the said (ES) and (ANN) as a perceptrons paradigm. The input vector represent (47) test points (continuous values) associated with the rules used for the (ES). The target vector represent binary values, each one in its pattern is pointed to activate specific subroutine. Learning algorithm for (ANN) was carried out successfully according to results shown below.
机译：制造业最强大的工具之一是使用专家系统和人工神经网络（ANN）作为新的高科技技术之一。它导致增加和提高产品质量，从而支持竞争的勇气。 AN（ES）是设计用于彩色电视（CTV）的实际生产线（Online）。它能够通过执行十个子程序中的一个来分析和确定（10）主要类别故障的原因（如此修复）。这是基于（如果......然后）规则作为知识库，而QBasic软件（Master。Bas）程序是作为shell（工具）创建的。以下是所述（ES）和（ANN）之间作为Perceptrons范式的联系。输入载体表示（47）与（ES）使用的规则相关联的测试点（连续值）。目标矢量代表二进制值，每个图案中的每个值都指向激活特定子程序。 （ANN）的学习算法根据下面所示的结果成功进行。

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