Impact of Data Quantity on the Performance of Neural Network Incident Detection Models PDF Download
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Author: H. Dia
Publisher:
ISBN:
Category : Disabled vehicles on express highways
Languages : en
Pages : 32
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Book Description
Author: H. Dia
Publisher:
ISBN:
Category : Disabled vehicles on express highways
Languages : en
Pages : 32
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Book Description
Author: H. Dia
Publisher:
ISBN:
Category : Disabled vehicles on express highways
Languages : en
Pages : 62
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Book Description
Author: Veli Himanen
Publisher: Routledge
ISBN: 0429817630
Category : Social Science
Languages : en
Pages : 410
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Book Description
First published in 1998, this volume enters the debate on human behaviour in the form of neural networks in a spatial context. As most transportation research techniques had been developed in the 1960s and 1970s, these authors sought to bring that research into the modern era. Featuring 17 articles from 37 contributors, it begins with an overview and proceeds to examine aspects of travel behaviour, traffic flow and traffic management.
Author: Angela Mottaeva
Publisher: Springer Nature
ISBN: 9813362081
Category : Technology & Engineering
Languages : en
Pages : 631
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Book Description
The book contains the latest studies on digitalization of transport and logistics, improving vehicle fuel efficiency, information technology and digital security, land management and cadastres, building structures, structural analysis, and energy conservation in construction. This book consists of papers presented during the XIII International Scientific Conference on Architecture and Construction 2020, which is dedicated to the 90th anniversary of Novosibirsk State University of Architecture and Civil Engineering, held on September 22–24, 2020. The book caters to researchers, scientists and industrial practitioners in the field of transportation engineering, logistics, intelligent transport systems, sustainable construction for housing and industrial buildings.
Author: Karl Frazier Petty
Publisher:
ISBN:
Category :
Languages : en
Pages : 522
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Book Description
Author: Run Liu
Publisher: CRC Press
ISBN: 1000936783
Category : Technology & Engineering
Languages : en
Pages : 1310
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Book Description
Advances in Traffic Transportation and Civil Architecture focuses on the research of traffic infrastructure. This proceedings gathers the most cutting-edge research and achievements, aiming to provide scholars and engineers with a preferable research direction and engineering solutions as reference. Subjects in this proceedings include: - Road Engineering - Bridge Engineering - Tunneling - Construction Technology and Processes The works of this proceedings aim to promote the development of civil engineering and construction technology. Thereby, promote scientific information interchange between scholars from the top universities, research centers and high-tech enterprises working all around the world.
Author: Filippo Maria Bianchi
Publisher: Springer
ISBN: 3319703382
Category : Computers
Languages : en
Pages : 74
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Book Description
The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective forecasting system. Significant research has thus been devoted to the design and development of methodologies for short term load forecasting over the past decades. A class of mathematical models, called Recurrent Neural Networks, are nowadays gaining renewed interest among researchers and they are replacing many practical implementations of the forecasting systems, previously based on static methods. Despite the undeniable expressive power of these architectures, their recurrent nature complicates their understanding and poses challenges in the training procedures. Recently, new important families of recurrent architectures have emerged and their applicability in the context of load forecasting has not been investigated completely yet. This work performs a comparative study on the problem of Short-Term Load Forecast, by using different classes of state-of-the-art Recurrent Neural Networks. The authors test the reviewed models first on controlled synthetic tasks and then on different real datasets, covering important practical cases of study. The text also provides a general overview of the most important architectures and defines guidelines for configuring the recurrent networks to predict real-valued time series.
Author:
Publisher:
ISBN:
Category : Air travel
Languages : en
Pages : 574
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Book Description
Author: Sandro Skansi
Publisher: Springer
ISBN: 3319730045
Category : Computers
Languages : en
Pages : 196
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Book Description
This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional networks, LSTMs, Word2vec, RBMs, DBNs, neural Turing machines, memory networks and autoencoders. Numerous examples in working Python code are provided throughout the book, and the code is also supplied separately at an accompanying website. Topics and features: introduces the fundamentals of machine learning, and the mathematical and computational prerequisites for deep learning; discusses feed-forward neural networks, and explores the modifications to these which can be applied to any neural network; examines convolutional neural networks, and the recurrent connections to a feed-forward neural network; describes the notion of distributed representations, the concept of the autoencoder, and the ideas behind language processing with deep learning; presents a brief history of artificial intelligence and neural networks, and reviews interesting open research problems in deep learning and connectionism. This clearly written and lively primer on deep learning is essential reading for graduate and advanced undergraduate students of computer science, cognitive science and mathematics, as well as fields such as linguistics, logic, philosophy, and psychology.
Author: V.A Profillidis
Publisher: Elsevier
ISBN: 0128115149
Category : Social Science
Languages : en
Pages : 500
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Book Description
Modeling of Transport Demand explains the mechanisms of transport demand, from analysis to calculation and forecasting. Packed with strategies for forecasting future demand for all transport modes, the book helps readers assess the validity and accuracy of demand forecasts. Forecasting and evaluating transport demand is an essential task of transport professionals and researchers that affects the design, extension, operation, and maintenance of all transport infrastructures. Accurate demand forecasts are necessary for companies and government entities when planning future fleet size, human resource needs, revenues, expenses, and budgets. The operational and planning skills provided in Modeling of Transport Demand help readers solve the problems they face on a daily basis. Modeling of Transport Demand is written for researchers, professionals, undergraduate and graduate students at every stage in their careers, from novice to expert. The book assists those tasked with constructing qualitative models (based on executive judgment, Delphi, scenario writing, survey methods) or quantitative ones (based on statistical, time series, econometric, gravity, artificial neural network, and fuzzy methods) in choosing the most suitable solution for all types of transport applications. - Presents the most recent and relevant findings and research - both at theoretical and practical levels - of transport demand - Provides a theoretical analysis and formulations that are clearly presented for ease of understanding - Covers analysis for all modes of transportation - Includes case studies that present the most appropriate formulas and methods for finding solutions and evaluating results
