際際滷shows by User: mazlinapsas / http://www.slideshare.net/images/logo.gif 際際滷shows by User: mazlinapsas / Sat, 05 Mar 2016 02:45:08 GMT 際際滷Share feed for 際際滷shows by User: mazlinapsas Expert systems : computer hardware problem /slideshow/expert-systems-computer-hardware-problem/59103497 expertsystems-uploadslideshare-mazlina-160305024508
This study introduces a method that will reduce the troubles to in diagnosing the computer hardware failures. An expert intelligent system using the rule-based technique is introduced to diagnose computer hardware failures. User or computer technician no need to check a part of computer hardware, one by one to diagnose computer hardware failure. User or computer technician just need to select category and the symptom or fact into a system, then a system will diagnose a computer hardware failure. The implementation includes types of computer hardware failure, computer condition, rules, and the solution that used in the flow chart technique and rule-based expert systems software. There are nine categories of computer hardware failure: power supply, hard drive, video, monitor, ATA drive, DVD, CD and Blu-ray playback, sound, motherboard, CPU and RAM. The results and analysis presented are computer hardware failure, conditions, rules, and solutions that used in the decision tables technique. Besides that, an analysis of the outputs and explanation about data mining by Weka engine are included to evaluate results. The testing for outputs is from black-box test and user acceptance test to evaluate the capability of study in diagnosing computer hardware failures in all conditions. Besides that, this study also showed that time is less to diagnose computer hardware failure when used expert system, than diagnose computer hardware failure manually]]>
This study introduces a method that will reduce the troubles to in diagnosing the computer hardware failures. An expert intelligent system using the rule-based technique is introduced to diagnose computer hardware failures. User or computer technician no need to check a part of computer hardware, one by one to diagnose computer hardware failure. User or computer technician just need to select category and the symptom or fact into a system, then a system will diagnose a computer hardware failure. The implementation includes types of computer hardware failure, computer condition, rules, and the solution that used in the flow chart technique and rule-based expert systems software. There are nine categories of computer hardware failure: power supply, hard drive, video, monitor, ATA drive, DVD, CD and Blu-ray playback, sound, motherboard, CPU and RAM. The results and analysis presented are computer hardware failure, conditions, rules, and solutions that used in the decision tables technique. Besides that, an analysis of the outputs and explanation about data mining by Weka engine are included to evaluate results. The testing for outputs is from black-box test and user acceptance test to evaluate the capability of study in diagnosing computer hardware failures in all conditions. Besides that, this study also showed that time is less to diagnose computer hardware failure when used expert system, than diagnose computer hardware failure manually]]> Sat, 05 Mar 2016 02:45:08 GMT /slideshow/expert-systems-computer-hardware-problem/59103497 mazlinapsas@slideshare.net(mazlinapsas) Expert systems : computer hardware problem mazlinapsas This study introduces a method that will reduce the troubles to in diagnosing the computer hardware failures. An expert intelligent system using the rule-based technique is introduced to diagnose computer hardware failures. User or computer technician no need to check a part of computer hardware, one by one to diagnose computer hardware failure. User or computer technician just need to select category and the symptom or fact into a system, then a system will diagnose a computer hardware failure. The implementation includes types of computer hardware failure, computer condition, rules, and the solution that used in the flow chart technique and rule-based expert systems software. There are nine categories of computer hardware failure: power supply, hard drive, video, monitor, ATA drive, DVD, CD and Blu-ray playback, sound, motherboard, CPU and RAM. The results and analysis presented are computer hardware failure, conditions, rules, and solutions that used in the decision tables technique. Besides that, an analysis of the outputs and explanation about data mining by Weka engine are included to evaluate results. The testing for outputs is from black-box test and user acceptance test to evaluate the capability of study in diagnosing computer hardware failures in all conditions. Besides that, this study also showed that time is less to diagnose computer hardware failure when used expert system, than diagnose computer hardware failure manually <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/expertsystems-uploadslideshare-mazlina-160305024508-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This study introduces a method that will reduce the troubles to in diagnosing the computer hardware failures. An expert intelligent system using the rule-based technique is introduced to diagnose computer hardware failures. User or computer technician no need to check a part of computer hardware, one by one to diagnose computer hardware failure. User or computer technician just need to select category and the symptom or fact into a system, then a system will diagnose a computer hardware failure. The implementation includes types of computer hardware failure, computer condition, rules, and the solution that used in the flow chart technique and rule-based expert systems software. There are nine categories of computer hardware failure: power supply, hard drive, video, monitor, ATA drive, DVD, CD and Blu-ray playback, sound, motherboard, CPU and RAM. The results and analysis presented are computer hardware failure, conditions, rules, and solutions that used in the decision tables technique. Besides that, an analysis of the outputs and explanation about data mining by Weka engine are included to evaluate results. The testing for outputs is from black-box test and user acceptance test to evaluate the capability of study in diagnosing computer hardware failures in all conditions. Besides that, this study also showed that time is less to diagnose computer hardware failure when used expert system, than diagnose computer hardware failure manually
Expert systems : computer hardware problem from mazlinapsas
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