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73.467  Articles
1 of 7.348 pages  |  10  records  |  more records»
The traditional Back-propagation algorithm has several weaknesses, including long training times and significant iterations to achieve convergence. This study aims to optimize traditional Back-propagation using the cyclical rule method to cover these weak... see more

Failure propagation is a critical factor for the reliability and safety of complex systems. To recognise and identify failure propagation of systems, a deep fusion model based on deep belief network (DBN) and Bayesian structural equation model (BSEM) is p... see more

Training an artificial neural network is an optimization task, since it is desired to find optimal weight sets for a neural network during training process. Traditional training algorithms such as back propagation have some drawbacks such as getting stuck... see more

Currently, artificial neural networks are being developed as a tool that can help with human tasks. The main purpose of this study is to identify the structure of an eggplant, and to distinguish the type of eggplant. This study empirically tested the shap... see more

Pertumbuhan penduduk di Indonesia yang terus meningkat setiap tahunnya dan tidak disertai dengan ketersediaan lapangan pekerjaan yang mampu menampung seluruh angkatan kerja bisa menimbulkan pengangguran, kriminalitas, yang bersinggungan pula dengan rusakn... see more

The paper takes into consideration risk systems that can use not only in nuclear reactions but other plants with frequent risks for people's life, such as mining, and other. Such facilities apply information systems in which take place exchange text messa... see more

Research has been conducted by predicting cases of dengue hemorrhagic fever based on weather parameters. The data used are weather parameters in the form of air temperature data, air humidity, rainfall, duration of solar radiation and wind speed as input ... see more

1 of 7.348 pages  |  10  records  |  more records»