Pemanfaatan Jaringan Saraf Tiruan Multi
ABSTRACT Artificial neural network (ANN) inspired from Biologica] Science. The network had made is require a number of assumption of anatomy and brain function which unlike brain in fact. The main characteristic of artificial neural network its ability to learn. One of artificial neural network type...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | مقال NonPeerReviewed |
| منشور في: |
[Yogyakarta] : Universitas Gadjah Mada
2006
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://repository.ugm.ac.id/26515/ http://i-lib.ugm.ac.id/jurnal/download.php?dataId=9546 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
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| الملخص: | ABSTRACT
Artificial neural network (ANN) inspired from Biologica] Science. The network had made is require a number of assumption of anatomy and brain function which unlike brain in fact. The main characteristic of artificial neural network its ability to learn. One of artificial neural network type is multilayer perceptron feedforward. This network can be trained to recognize a certain pa ttern_
The pattern of temperature and rainfall is almost equal in specific period in one year. By using multilaver perceptron feedforward neural network, the shifting of temperature and rainfall pattern is adapted so that expected to produce accurate weather prediction.
Keyword artificial neural network, multilayer perceptron ftedfriwarar
Single hidden layer, rainfall and air temperature. |
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