PENENTUAN ARSITEKTUR JARINGAN SYARAF TIRUAN BACKPROPAGATION (BOBOT AWAL DAN BIAS AWAL) MENGGUNAKAN ALGORITMA GENETIKA

• المؤلفون الرئيسيون: , christian dwi suhendra, , Drs. Retantyo Wardoyo, M,Sc.,Ph.D
• التنسيق: Theses and Dissertations NonPeerReviewed
• منشور في: [Yogyakarta] : Universitas Gadjah Mada 2014
• الموضوعات: ETD
• الوصول للمادة أونلاين: https://repository.ugm.ac.id/133154/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=73711
• المؤسسة: Universitas Gadjah Mada

The weakness of back propagation neural network is very slow to converge and local minima issues that makes artificial neural networks (ANN) are often being trapped in a local minima. A good combination between architecture, intial weight and bias are so important to overcome the weakness of backpro...