Bu çal??mada, ileri beslemeli geri yay?l?ml? bir yapay sinir a?? ile depremin büyüklü?ü, derinli?i ve afetzedelerin merkez üssüne olan uzakl?klar?na ba?l? olarak deprem ?iddeti tahmini yap?lm??t?r. kapsamda, Amerika Birle?ik Devletleri Jeoloji Ara?t?rmalar? Kurumu’nun veri taban?nda yer alan önemli depremler adland?r?lan depremlere ili?kin bilgiler a??n?n girdisi kullan?lm??t?r. Farkl? tasar?ml...

<span>Agarwood oil is in increasing demand Malaysia throughout the world for use incense, traditional medicine, and perfumes. However, there still no standardized grading method agarwood oil. It vital to grade into high low quality so that both qualities can be properly differentiated. In present study, data were obtained from Forest Research Institute (FRIM), Selangor Bioaromatic Centre ...

An image consists of large data and requires more space in the memory. The large data results in more transmission time from transmitter to receiver. The time consumption can be reduced by using data compression techniques. In this technique, it is possible to eliminate the redundant data contained in an image. The compressed image requires less memory space and less time to transmit in the for...

Artificial neural networks (ANNs) can understand the behavior of a given system from historical measurements its associated variables. Adjusting weight and bias ANN model using an optimization algorithm is known as training process. The reliability directly related to success Therefore, this study investigates effect algorithms on prediction accuracy multilayer perceptron (MLPNNs). complex gas ...

Congestion has become part of everyday urban life, and resilience is very crucial to traffic vulnerability sustainable mobility. This research employed a neural network as an adaptive artificially-intelligent application study the complex domains transport system in Nigerian cities (Kano Lagos). The input criteria train check models for are demographic variables, geospatial data, parameters, in...

Downward surface shortwave radiation (DSSR) plays an important role in the energy balance of earth’s surface. Accurate estimate DSSR is great significance for rational and effective use solar energy. Some parameterization schemes were proposed to using meteorological measurements given ground-based observation sites are scare uneven. With development remote sensing technique, remotely sensed da...

Cellular networks are highly prone to congestion especially at peak traffic periods. This is compounded by the fact that blocking probability increases. In this study, a machine learning based subscriber classification along with an adaptive Wi-Fi offloading scheme proposed improve throughput and lower of network. The was implemented using back propagation artificial neural result used develop ...

We discuss the design and software implementation of a nuclear data evaluation pipeline applied for fully reproducible neutron-induced cross sections $^{56}$Fe above resolved resonance region using model code TALYS combined with relevant experimental data. The emphasis is on mathematical technical aspects not $^{56}$Fe, which tentative. building blocks employed in are discussed detail. A unifie...