PRICING DECISIONS IN LINER SHIPPING INDUSTRY: A STUDY ON ARTIFICIAL NEURAL NETWORKS1

活動開始，全體同學默哀祝禱先行離開至 極樂世界的 3 位同學，口腔醫學院歐院長

Türk Kültürü ve Hacı Bektaş Veli Araştırma Merkezi, bugüne kadar büyük yol kat ederek, özellikle alanı ile ilgili özgün çalışmaları derleyerek, bilim

Bu araştırmada su geçiren betonların mekanik ve dayanıklı- lık özelikleri, geleneksel betonlara göre farklılıkları ve fark- lı oranlarda ince malzeme içeren su

T ÜRK Milli Devletini kuran, Türk istiklâl Savasım başaran ve Türk devrim tarihinin yaratıcısı olan Birinci Büyük Millet M eclisin­ de bulunan

In this study, the artificial neural network structure based on the back-propagation learning process was used in the training of the system to predict the results of the

In this study the wave characteristics (height and period of wave) were simulated by applying the Bretschneider spectrum and equations presented by Sverdrup-Munk-

The comparison between the different obtained results reveals that the image filtering using Weiner filter has given the best results during the training and the test of the

Deploying An Artificial Neural Network Model for Solar Air Heating Modelling.. Omojaro, Peter;Nwulu, Nnamdi