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Relevant bibliographies by topics / Network modelling / Dissertations / Theses

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Dissertations / Theses on the topic 'Network modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Gudmundsson, Gudmundur Stefan. "Essays in network modelling." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/663096.

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This thesis consists of two chapters on time series modelling. The ﬁrst chapter introduces a class of vector autoregressive (VAR) models with a community structure for large panels of time series. In the model, the series are parti-tioned into latent groups such that spillovers are stronger within groups than between them. We then propose an algorithm that uses the eigenvectors of a function of the estimated autoregressive matrices to recover the communities. We study the properties of the procedure and establish its consistency. The algorithm motivates us to suggest a regularised VAR estimato

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2

Filion, Yves R. "Extended dynamic network modelling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ58667.pdf.

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3

Roadknight, C. M. "Transparent neural network modelling." Thesis, Nottingham Trent University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314107.

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4

Dalton, Sarah. "Modelling the Perinatal Network System." Thesis, University of Westminster, 2018. https://westminsterresearch.westminster.ac.uk/item/q559v/modelling-the-perinatal-network-system.

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The topic is that hospital capacity for patient beds runs short. We wish to predict when this will occur. An inter-disciplinary approach to this problem is taken incorporating a Management Science/Operational Research perspective. The subject is the Perinatal Network System, which is described, analysed and modelled. An illustrative Case Study is taken of an English local neonatal unit, where new-born babies are cared for. The focus is High dependency cots. Recommendations produced are subject to human factors and implementation difficulties. In this work, Systems Thinking facilitates an under

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5

Liu, Wei 1975. "Network traffic modelling and analysis." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=82613.

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In all-photonic networks, both transmission and switching is performed in the optical domain, without optoelectronic conversion for the data traversing the network. An accurate traffic model is critical in an agile all-photonic network (AAPN) which has the ability to dynamically allocate bandwidth to traffic flows as the demand varies.<br>This thesis focuses on traffic modelling and analysis. A novel traffic model is proposed which can capture the traffic behaviours in all-photonic networks. The new model is based on a study of existing traffic modelling literature. It combines the time

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6

Bergmann, Daniel. "Genetic network modelling and inference." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/11209/.

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Modelling and reconstruction of genetic regulatory networks has developed in a wide field of study in the past few decades, with the application of ever sophisticated techniques. This thesis looks at how models for genetic networks have been developed from simple Boolean representations to more complicated models that take into account the inherent stochasticity of the biological system they are modelling. Statistical techniques are used to help predict the interaction between genes from microarray data in order to recover genetic regulatory networks and provide likely candidates for interacti

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7

Zadik, Daniel. "Network modelling of canine metabolism." Thesis, University of Nottingham, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546533.

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8

Attenborough, F. R. "The modelling of network polymers." Thesis, University of Liverpool, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243243.

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This thesis considers the modelling of two and three dimensional molecular networks with a view to being able to predict how the geometry of a network will affect the elastic constants and specifically the Poisson's ratios of the network. Materials with negative Poisson's ratios have much better engineering properties then those with positive Poisson's ratios. Theory states that a network polymer, with negative Poisson's ratios at a molecular level, would have much better properties than most materials with negative Poisson's ratios made to date. Molecular modelling has been used to examine th

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9

Wang, Hao. "Performance modelling of network management schemes for mobile wireless networks." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/13192.

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10

Perera, Pannilage Supun Sachinthaka. "Topological Approach for Modelling the Structure, Dynamics and Robustness of Supply Chain Networks." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/20418.

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Traditionally simple and linear supply chains have, in recent years, evolved towards highly complex networked systems, due to globalisation and product specialisation. Recent application of network models to supply chain systems have revealed the existence of non-trivial and universal topological footprints, which provide important system level insights. This thesis uses topological network models to investigate the structure, dynamics and robustness of supply chain networks (SCNs). Firstly, the common topological characteristics of real-world SCNs are identified, by considering both undirect

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11

Baronikian, Haig. "Modelling and analysis of a computer conferencing system." Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63756.

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12

Randrianandrasana, Michel F. "Finding structures in information networks using the affinity network." Thesis, Aston University, 2011. http://publications.aston.ac.uk/15684/.

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This thesis proposes a novel graphical model for inference called the Affinity Network,which displays the closeness between pairs of variables and is an alternative to Bayesian Networks and Dependency Networks. The Affinity Network shares some similarities with Bayesian Networks and Dependency Networks but avoids their heuristic and stochastic graph construction algorithms by using a message passing scheme. A comparison with the above two instances of graphical models is given for sparse discrete and continuous medical data and data taken from the UCI machine learning repository. The experimen

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13

Garuccio, Elena. "Reconstruction, modelling and analysis of economic networks." Doctoral thesis, Università di Siena, 2018. http://hdl.handle.net/11365/1059854.

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In Chapter 1 We present the mathematical and theoretical framework to define a universally renormalizable model of complex network, which we prove to be consistent with the fitness model. We also show how the model leads to Lévy-stable fitness distributions and random scale-free networks if the hidden variables are resampled at each renormalization. By contrast, we show how the model, with fixed fitness parameters, naturally describes real-world networks. Beside the theoretical framework for the network topology, we also provide a model for the reconstruction of links weight based on a modifi

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14

Bilal, Muhammad Shahid. "Large Scale Modelling of Striatal Network." Thesis, KTH, Matematik (Inst.), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-103502.

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Numerical simulations play an important role to uncover the dynamic behaviour at the cellular and network levels and accelerate the work in the field of Neuroscience. The modern computational technologies have made it possible to simulate a huge network of neurons which was possible only in theory two decades ago. The simulations of networks of thousand of neurons are carried out on the parallel machine Cray XE6 system, based on the AMD Opteron 12-core which shows good scaling properties. These models can be beneficial for the generation of global behaviour which could not be produced by fewer

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15

Brewer, Daniel Simon. "Modelling the p53 gene regulatory network." Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/1445328/.

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p53 is the central protein in the DNA damage response and is part of a complex and extensive gene regulatory network. This network integrates a variety of stress signals to produce the up-regulation of active p53 and a range of effects including apoptosis, growth arrest and DNA damage repair. The p53 system has typically been studied qualitatively as a linear pathway, however this approach is insufficient to gain a full functional under standing of the dynamic nature of the network. In this work a better description of the DNA damage response will be constructed through the use of mathematical

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16

Krause, Andrew Leslie. "Network modelling of bioactive porous media." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:980a0fd8-96a7-4818-904a-0842d4efbd41.

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In this thesis we consider several approaches to modelling interactions between fluid flow and cell proliferation in a bioactive porous medium. This is motivated by models of cell growth within tissue engineering scaffolds placed in perfusion bioreactors. These scaffolds are porous materials used to facilitate nutrient transport to cells placed within them. Recent modelling efforts have sought to understand the influence that cells have on the effective permeability of these tissue scaffolds, and hence on the capacity of the porous medium to facilitate fluid and nutrient transport, which enhan

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17

Theparod, Thitiya. "Network modelling for sexually transmitted diseases." Thesis, Lancaster University, 2015. http://eprints.lancs.ac.uk/82239/.

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The aim of this thesis is to propose suitable mathematical models for the analysis of sexually transmitted disease epidemics. We are interested in a closed population, where infections are only transmitted through heterosexual contacts. The population is hence divided into two groups: male and female. Individuals are classified according to gender, relationship and disease status. Both stochastic and deterministic SIS models are employed. The stochastic models are formulated in terms of a Markov process with a finite state space. Two main models are constructed and quantities of interest such

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18

Rasouli, Mohammad. "Trip distribution modelling using neural network." Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/669.

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In this research a new generalized regression neural network (GRNN) model has been researched to estimate the distribution of journey to work trips. As a case study, the model was applied to the journey to work trips in the City of Mandurah in Western Australia. The results of the GRNN model were compared with the well-known doubly-constrained gravity model and the Back-Propagation model and its superiority over these models has been demonstrated.

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19

Gabrys, Bogdan. "Neural network based decision support : modelling and simulation of water distribution networks." Thesis, Nottingham Trent University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387534.

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20

Bertagnolli, Giulia. "Modelling the process-driven geometry of complex networks." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/346519.

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Graphs are a great tool for representing complex physical and social systems, where the interactions among many units, from tens of animal species in a food-web, to millions of users in a social network, give rise to emergent, complex system behaviours. In the field of network science this representation, which is usually called a complex network, can be complicated at will to better represent the real system under study. For instance, interactions may be directed or may differ in their strength or cost, leading to directed weighted networks, but they may also depend on time, like in temporal

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21

Yaveroglu, Omer Nebil. "Graphlet correlations for network comparison and modelling : World Trade Network example." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/25523.

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We propose methods on two fundamental graph theoretic problems: (1) network comparison, and (2) network modelling. Our methods are applied to five real-world network types, with an emphasis on world trade networks (WTNs), which we choose due to the world's current economic crisis. Finding topological similarities of complex networks is computationally intractable due to NP-Completeness of the subgraph isomorphism problem. Hence, simple heuristics have been used for this purpose. The most sophisticated heuristics are based on graph spectra and small subnetworks including graphlets. Among these,

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22

Gonzalez, Hosta Joan. "Dynamical Modelling of a Metabolic Reaction Network." Thesis, KTH, Reglerteknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-106221.

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In a cell culture system, a lot of compounds are involved considering the ones contained in the medium (extracellular) and the intracellular environment. Studies of the different system behaviours adopted due to variations in the medium concentrations are typically based on empirical or statistical approaches when working with such an amount of compounds. In this paper is presented a method to develop a dynamical model of a cell culture system which can predict the evolution of the medium compounds and cell growth along the time for this kind of systems. The method has been implemented as a st

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23

Xie, Qingsheng. "Network manufacturing systems : modelling, implementation and applications." Thesis, Leeds Beckett University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435466.

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24

Barry, Thomas Andrew Linden. "Modelling of methods for wireless network access." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ40463.pdf.

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25

Tupas, Ronald-Ray Tiñana. "Artificial neural network modelling of filtration performance." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0011/MQ59890.pdf.

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26

Huang, Yan, and 黃艷. "Neural network modelling of coastal algal blooms." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B43894872.

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27

Hind, Alan. "Parallel simulation techniques for telecommunication network modelling." Thesis, Durham University, 1994. http://etheses.dur.ac.uk/5520/.

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In this thesis, we consider the application of parallel simulation to the performance modelling of telecommunication networks. A largely automated approach was first explored using a parallelizing compiler to speed up the simulation of simple models of circuit-switched networks. This yielded reasonable results for relatively little effort compared with other approaches. However, more complex simulation models of packet- and cell-based telecommunication networks, requiring the use of discrete event techniques, need an alternative approach. A critical review of parallel discrete event simulation

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28

Jolliffe, Andrew Donald. "Modelling ventilation in the human tracheobronchial network." Thesis, University of Hertfordshire, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365986.

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29

Weng, Jialai. "On advanced channel modelling for network planning." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/22361/.

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With the increasing demand for high speed wireless network services, the next generation wireless networks are proposed to use advanced wireless communication technologies. These technologies include massive MIMO, mmWave and distributed MIMO. In order to deploy wireless networks equipped with these technologies, channel models capturing the channel features and characteristics of these wireless technologies are essential in the planning and optimisation of networks. However, conventional channel models lack the capability to support these next generation network technologies. In this PhD thesi

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30

Cowley, Daniel J. "Modelling species movement using electric network theory." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678206.

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31

McLoone, Sean Francis. "Neural network training for modelling and control." Thesis, Queen's University Belfast, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337109.

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32

Huang, Yan. "Neural network modelling of coastal algal blooms." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25248510.

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33

Athanasiadis, Ignatios. "Hydro-mechanical network modelling of porous geomaterials." Thesis, University of Glasgow, 2017. http://theses.gla.ac.uk/8204/.

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The microstructure of porous geomaterials strongly influences macroscopic hydro-mechanical properties, such as fluid retention, conductivity and stiffness. These properties are of importance for predicting the performance of many engineering applications, such as waste barriers and flood defence embankments. Predicting these properties with confidence requires a thorough understanding of processes at the microscale and their effect on macroscopic phenomenological properties. For unsaturated geomaterials, providing this understanding requires still further research. In this study, network model

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34

VALENZA, FULVIO. "Modelling and Analysis of Network Security Policies." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2676486.

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Nowadays, computers and network communications have a pervasive presence in all our daily activities. Their correct configuration in terms of security is becoming more and more complex due to the growing number and variety of services present in a network. Generally, the security configuration of a computer network is dictated by specifying the policies of the security controls (e.g. firewall, VPN gateway) in the network. This implies that the specification of the network security policies is a crucial step to avoid errors in network configuration (e.g., blocking legitimate traffic, permitt

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35

Holzhauer, Sascha [Verfasser]. "Dynamic Social Networks in Agent-based Modelling : Increasingly Detailed Approaches of Network Initialisation and Network Dynamics / Sascha Holzhauer." Kassel : Kassel University Press, 2017. http://d-nb.info/1137030445/34.

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36

Littlewort, G. C. "Neural network analysis and simulation." Thesis, University of Oxford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292677.

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37

Holovatch, T. "Complex transportation networks : resilience, modelling and optimisation." Thesis, Coventry University, 2011. http://curve.coventry.ac.uk/open/items/eafefd84-ff08-43cf-a544-597ee5e63237/1.

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38

Wahab, Junaid, and Zubair Ali. "Improved Energy Modelling of Wireless Personal Area Network." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-2615.

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<p>Wireless sensors networks are used in a variety of environments ranging from environment</p><p>monitoring such as humidity and temperature, to environments like patient monitoring, habitat</p><p>monitoring etc. Sometimes sensors are deployed in inaccessible or hazardous places, and they</p><p>are battery operated; recharging or changing the sensor’s battery is almost impossible.</p><p>In such scenarios, where the battery can not be recharged or changed, it is crucial to know in</p><p>advance how long the battery will last so that the old sensor node can be replaced by a new</p><p>one. Norma

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39

Urquhart, Andrew J. "Accuracy of low voltage electricity distribution network modelling." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/21799.

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The connection of high penetrations of new low carbon technologies such as PV and electric vehicles onto the distribution network is expected to cause power quality problems and the thermal capacity of feeder cables may be exceeded. Replacement of existing infrastructure is costly and so feeder cables are likely to be operated close to their hosting capacity. Network operators therefore require accurate simulation models so that new connection requests are not unnecessarily constrained. This work has reviewed recent studies and found a wide range of assumptions and approximations that are used

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40

Lee, Yong Wha. "Modelling and dynamic routing for computer queueing network." Thesis, University of Ottawa (Canada), 1985. http://hdl.handle.net/10393/4678.

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41

Leung, Chi-chung. "Modelling complex network dynamics a statistical physics approach /." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B38324611.

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42

Konstatinos, Sasloglou. "Channel measurements and modelling for sensor network applications." Thesis, University of Strathclyde, 2010. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=12833.

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43

Qadir, Fayyaz Mahmood. "Incorporating reliability into network modelling for policy analysis." Thesis, University of Leeds, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522974.

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44

Leung, Chi-chung, and 梁志聰. "Modelling complex network dynamics: a statistical physics approach." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B38324611.

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45

Vince, Emma Pierina. "Using neural network modelling to detect eating disorders." Thesis, University of Bath, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426288.

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46

Gomez, E. Ribes. "Wavelet neural network algorithms and architectures : nonlinear modelling." Thesis, Queen's University Belfast, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273393.

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47

Wu, Z.-D. "Performance modelling of Cambridge ring based local network." Thesis, University of Kent, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.376339.

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48

Whitlock, Mark E. "A Bayesian approach to road traffic network modelling." Thesis, University of Kent, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311262.

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49

Harvey, David Robert. "Neural network modelling of a planar walking biped." Thesis, University of Portsmouth, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422899.

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50

Pirouti, Marouf. "Modelling and analysis of a district heating network." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/45201/.

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District heating systems have the potential to contribute to the UK renewable energy targets. However, there are a number of economic barriers which would have to be addressed in order to make district heating competitive in comparison with alternative heating technologies. The objective of this research was to model and analyse a district heating network and develop an optimisation method to calculate the minimum capital investment, heat losses and pump energy consumption. Firstly, modelling and analysis of a district heating network was conducted to obtain district heating design cases with

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