Author: Farshid KhaliliPublisher:
ISBN:
Category :
Languages : en
Pages : 294
Book Description
Forecasting of the Ship Demolition Market Using Artificial Neural Networks
Author: Farshid KhaliliAnalysis and Forecast of the Capesize Bulk Carriers Shipping Market Using Artificial Neural Networks
Author: Athanasios V. VoudrisPublisher:
ISBN:
Category :
Languages : en
Pages : 394
Book Description
Investing in the bulk carrier market constitutes a rather risky investment due to the volatility of the bulk carrier freight rates. In this study it is attempted to uncover the benefits of using Artificial Neural Networks (ANNs) in forecasting the Capesize Ore Voyage Rates from Tubarao to Rotterdam with a 145,000 dwt Bulk carrier. Initially, market analysis allows the assessment of the relation of some parameters of the dry bulk market with the evolution of freight rates. Subsequently, ANNs with an appropriate architecture are constructed and sufficient data, in terms of quantity and quality, are collected and organized so as to establish both the training and the testing data sets. The use of ANNs along with genetic algorithms allows the prediction of bulk freight rates with considerable accuracy for as long as eighteen months ahead and this is quantified by calculating the relative and absolute errors. It is concluded that ANNs offer a promising approach to forecasting the bulk market when coupled with efficient market modeling.
Oil Tanker Markets Modeling, Analysis and Forecasting Using Neural Networks, Fuzzy Logic and Genetic Algorithms
Author: Chun LiOperations Management for Social Good
Author: Adriana LeirasPublisher: Springer Nature
ISBN: 3030238164
Category : Business & Economics
Languages : en
Pages : 1119
Book Description
This volume showcases the presentations and discussions delivered at the 2018 POMS International Conference in Rio. Through a collection of selected papers, it is possible to review the impact and application of operations management for social good, with contributions across a wide range of topics, including: humanitarian operations and crisis management, healthcare operations management, sustainable operations, artificial intelligence and data analytics in operations, product innovation and technology in operations management, marketing and operations management, service operations and servitization, logistics and supply chain management, resilience and risk in operations, defense, and tourism among other emerging Operations Management issues. The Production and Operations Management Society (POMS) is one of the most important and influential societies in the subject of Production Engineering and, as an international professional and academic organization, represents the interests of professionals and academics in production management and operations around the world.
Dynamic Market Value Forecasting Using Artificial Neural Networks
Author: Erkam GüreşenOil Transport Management
Author: Y.H. Venus LunPublisher: Springer Science & Business Media
ISBN: 1447129210
Category : Technology & Engineering
Languages : en
Pages : 108
Book Description
The first volume in a new Springer Series on Shipping and Transport Logistics, Oil Transport Management provides a full historical account of the evolution of the oil transport industry since the 1800's. In this comprehensive guide, the authors investigate the industry and describe the shipping market and its structure, as well as forecasting, location plan and the transportation chain. They dedicate a separate chapter to each topic to cover various concepts, including: an introduction to the tanker shipping market, including how the freight, new vessel building, second hand and demolition markets influence one another, the economic structure and organization of the tanker industry in both the past and present, and forecasting the need for oil-based sea transportation. Further chapters present case studies and simulations to illustrate the importance of factory location decisions and the need for oil infrastructure investments. Chapter One also includes a regression equation to predict the fleet size in tanker shipping. Oil Transport Management is a key reference, which can be practically applied to wider global research and practices. Ideal for both industry practitioners, and researchers and students of shipping studies, Oil Transport Management provides a concise yet comprehensive coverage of the oil transport industry's history and a guide for its future development.
Index to Theses with Abstracts Accepted for Higher Degrees by the Universities of Great Britain and Ireland and the Council for National Academic Awards
Author: Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 308
Book Description
An Application of Artificial Neural Networks to Ship Resistance Prediction
Author: Mark HughesPublisher:
ISBN:
Category : Hulls (Naval architecture)
Languages : en
Pages : 228
Book Description
Report for Bachelor of Engineering (Naval Architecture)
Forecasting with Artificial Intelligence
Author: Mohsen HamoudiaPublisher: Springer Nature
ISBN: 3031358791
Category : Business & Economics
Languages : en
Pages : 441
Book Description
This book is a comprehensive guide that explores the intersection of artificial intelligence and forecasting, providing the latest insights and trends in this rapidly evolving field. The book contains fourteen chapters covering a wide range of topics, including the concept of AI, its impact on economic decision-making, traditional and machine learning-based forecasting methods, challenges in demand forecasting, global forecasting models, meta-learning and feature-based forecasting, ensembling, deep learning, scalability in industrial and optimization applications, and forecasting performance evaluation. With key illustrations, state-of-the-art implementations, best practices, and notable advances, this book offers practical insights into the theory and practice of AI-based forecasting. This book is a valuable resource for anyone involved in forecasting, including forecasters, statisticians, data scientists, business analysts, or decision-makers.
Author: Deepak Agrawal