What, how and when to use knowledge in neural network application
Neural network is one of the well-known artificial intelligence techniques. Neural Networks attempt to bring computers a little closer to the brain's capabilities by imitating certain aspects of information processing in the brain,"i a highly simplified way.These disciplines formulate a f...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2004
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| Online Access: | https://repo.uum.edu.my/id/eprint/3472/1/WH2.pdf |
| _version_ | 1803624668481978368 |
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| author | Wan Ishak, Wan Hussain Abdul Rahman, Shuzlina |
| author_facet | Wan Ishak, Wan Hussain Abdul Rahman, Shuzlina |
| author_sort | Wan Ishak, Wan Hussain |
| collection | UUM |
| description | Neural network is one of the well-known artificial intelligence techniques. Neural Networks attempt to
bring computers a little closer to the brain's capabilities by imitating certain aspects of information processing in the brain,"i a highly simplified way.These disciplines formulate a formula to form a brain like function, called artificial neuron. Artificial neuron comprises of large number of computational processing elements called units , nodes or cells. Neuron connected to each other with an associated weight. The weight represents information being used by the network to solve a problem. In understanding neural network one may think of three main questions: What is knowledge in neural network?; How to use this knowledge?; and When to use this knowledge? Knowledge is simply the weights that connect each neuron in neural networks. These weights are assigned randomly or generated using other procedures such as Nguyen-Widrow initialization algorithm. After training, the weights are stored and recalled in
application phase. Thus, one needs to understand these three questions in applying the neural network methods. The aim of the study is to describe the general methodology that normally applies in any neural network based application. The methodology comprises five steps namely variable selection, data collection, data preprocessing, training &validation, and testing. |
| first_indexed | 2024-07-04T05:22:02Z |
| format | Conference or Workshop Item |
| id | uum-3472 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:22:02Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | uum-34722011-08-15T08:10:07Z https://repo.uum.edu.my/id/eprint/3472/ What, how and when to use knowledge in neural network application Wan Ishak, Wan Hussain Abdul Rahman, Shuzlina QA76 Computer software Neural network is one of the well-known artificial intelligence techniques. Neural Networks attempt to bring computers a little closer to the brain's capabilities by imitating certain aspects of information processing in the brain,"i a highly simplified way.These disciplines formulate a formula to form a brain like function, called artificial neuron. Artificial neuron comprises of large number of computational processing elements called units , nodes or cells. Neuron connected to each other with an associated weight. The weight represents information being used by the network to solve a problem. In understanding neural network one may think of three main questions: What is knowledge in neural network?; How to use this knowledge?; and When to use this knowledge? Knowledge is simply the weights that connect each neuron in neural networks. These weights are assigned randomly or generated using other procedures such as Nguyen-Widrow initialization algorithm. After training, the weights are stored and recalled in application phase. Thus, one needs to understand these three questions in applying the neural network methods. The aim of the study is to describe the general methodology that normally applies in any neural network based application. The methodology comprises five steps namely variable selection, data collection, data preprocessing, training &validation, and testing. 2004 Conference or Workshop Item NonPeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/3472/1/WH2.pdf Wan Ishak, Wan Hussain and Abdul Rahman, Shuzlina (2004) What, how and when to use knowledge in neural network application. In: Knowledge Management International Conference and Exhibition 2004 (KMICE 2004) , 14-15 February 2004, Evergreen Laurel Hotel, Penang . (Unpublished) |
| spellingShingle | QA76 Computer software Wan Ishak, Wan Hussain Abdul Rahman, Shuzlina What, how and when to use knowledge in neural network application |
| title | What, how and when to use knowledge in neural network application |
| title_full | What, how and when to use knowledge in neural network application |
| title_fullStr | What, how and when to use knowledge in neural network application |
| title_full_unstemmed | What, how and when to use knowledge in neural network application |
| title_short | What, how and when to use knowledge in neural network application |
| title_sort | what how and when to use knowledge in neural network application |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/3472/1/WH2.pdf |
| work_keys_str_mv | AT wanishakwanhussain whathowandwhentouseknowledgeinneuralnetworkapplication AT abdulrahmanshuzlina whathowandwhentouseknowledgeinneuralnetworkapplication |