Neural network in medical application: A review
Artificial Neural Networks or widely known as Neural networks (ANNs or NNs) is a computational paradigm that comprises of mathematical, statistical, biological sciences and philosophy. These paradigms formulate a formula to form a brain like function, called artificial neuron. Artificial neuron com...
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| 主要な著者: | , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2001
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| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/3421/1/WH6.pdf http://repo.uum.edu.my/3421/ |
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| 要約: | Artificial Neural Networks or widely known as Neural networks (ANNs or NNs) is a computational paradigm that comprises of mathematical, statistical, biological
sciences and philosophy. These paradigms 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. Analogously, these processing elements mimic the processing elements of biological neuron. This paper
discusses neural network as a powerful tool to enhance current medical prognostic techniques. One of the most popular learning algorithms that are backpropagation
algorithm is discussed. Several applications of neural network in medical application are reviewed. |
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