Judul | : | The Effect of Hyper-Parameters on the Performance of Third Order Neural Network Algorithms on Medical Classification Data | ||||||
Abstrak | : | The artificial neural network (ANN) particularly back propagation (BP) algorithm has recently been applied in many areas. It is known that BP is an excellent classifier for nonlinear input and output numerical data. However, the popularity of BP comes with some drawbacks such as slow in learning and easily getting stuck in local minima. Improving training efficiency of BP algorithm is an active area of research and numerous papers have been reviewed in the literature. Furthermore, the performance of BP algorithm also highly influenced by the Keywords: Medical_diagnosis, neural network, back propagation |
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Tahun | : | 2021 | Media Publikasi | : | Jurnal Internasional | |||
Kategori | : | Jurnal | No/Vol/Tahun | : | 1 / 2 / 2021 | |||
ISSN/ISBN | : | 2773-5540 | ||||||
PTN/S | : | Universitas Pakuan | Program Studi | : | ILMU KOMPUTER | |||
Bibliography | : | A. Shakeri Abdolmaleki, A. Gholamalizadeh Ahangar, and J. Soltani, “Artificial Neural Network (ANN) Approach for Predicting Cu Concentration in Drinking Water of Chahnimeh1 Reservoir in Sistan-Balochistan, Iran,” Heal. Scope, vol. 2, no. 1, pp. 31–38, 2013 A. Shakeri Abdolmaleki, A. Gholamalizadeh Ahangar, and J. Soltani, “Artificial Neural Network (ANN) approach for predicting Cu concentration in drinking water of Chahnimeh1 Reservoir in Sistan-Balochistan,” Iran. Health scope, vol. 2, no. (1), pp. 31-38, 2013
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URL | : | https://publisher.uthm.edu.my/ojs/index.php/emait/article/view/8499 |