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1

Network, Canadian Model Forest. Canadian Model Forest Network achievements. [Ottawa]: Natural Resources Canada, 2006.

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2

Wasserman, Theodore, and Lori Drucker Wasserman. Apraxia: The Neural Network Model. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24105-5.

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3

Black, Uyless. OSI: A model for computer communications standards. Englewood Cliffs, N.J: Prentice-Hall, 1991.

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4

OSI: A model for computer communications standards. Englewood Cliffs, N.J: Prentice-Hall, 1991.

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5

Wasserman, Theodore, and Lori Drucker Wasserman. Therapy and the Neural Network Model. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26921-0.

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6

Estrada, James. Connections: A report on network model options. Hartford, Conn: Connecticut State Library, 1993.

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7

Christakis, Nicholas A. An empirical model for strategic network formation. Cambridge, MA: National Bureau of Economic Research, 2010.

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8

A neural network model of lexical organization. London: Continuum Intl Pub Group, 2009.

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9

Fortescue, Michael D. A neural network model of lexical organization. London: Continuum, 2011.

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10

Wasserman, Theodore, and Lori Wasserman. Motivation, Effort, and the Neural Network Model. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58724-6.

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11

Magedanz, Thomas. An integrated management model for intelligent networks. Munich: R. Oldenbourg, 1994.

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12

Flow model for open-channel reach or network. Washington: U.S. G.P.O., 1987.

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13

Lynn, Lamoreux M., ed. The colors of mice: A model genetic network. Chichester, West Sussex: Wiley-Blackwell, 2010.

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14

Lamoreux, M. Lynn. The colors of mice: A model genetic network. Chichester, West Sussex: Wiley-Blackwell, 2010.

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15

Peterson, William P. Heavy traffic analysis of a transportation network model. Cambridge, Mass: Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1994.

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16

OSI reference model for telecommunications. New York: McGraw-Hill, 2002.

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17

Davies, Gary. A model of constructive relationships in an agency network. Manchester: ManchesterBusiness School, 1996.

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18

Lipiński, Czesław. A two-level network model of input-output flows. Łódź: Wydawn. Uniwersytetu Łódzkiego, 1991.

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19

Ye, Tao. Detailed transportation network modeling -- GIS-based transit network model and mid block-based traffic assignment. Ottawa: National Library of Canada, 2003.

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20

Standardization, International Organization for. Information processing systems: Open systems interconnection, basic reference model. [Geneva, Switzerland?]: The Organzation, 1988.

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21

Standardization, International Organization for. Information processing systems: Open systems interconnection, basic reference model. [Geneva, Switzerland?]: The Organization, 1989.

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22

Standardization, International Organization for. Information processing systems: Open systems interconnection, basic reference model. [Geneva, Switzerland?]: The Organization, 1989.

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23

Dawo, Titus. First world development: A model for a development communication network. Birmingham: University of Central England in Birmingham, 2000.

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24

Strukel, Steven E. Analysis of the command and control network model and linkage mechanism with force evaluation models. Monterey, Calif: Naval Postgraduate School, 1992.

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25

Association, Canadian Standards. Information processing systems, open systems interconnection, basic reference model. Rexdale, Ont: The Association, 1986.

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26

International Telegraph and Telephone Consultative Committee. Study Group 18. Integrated services digital network (ISDN): Overall network aspects and functions, ISDN user-network interfaces; B-ISDN protocol reference model and its application. Geneva: International Telecommunication Union, 1991.

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27

Bokhari, Shahid H. A network flow model for load balancing in circuit-switched multicomputers. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, Institute for Computer Applications in Science and Engineering, 1990.

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28

Esser, Patrick. Network externality, compatibility and product differentiation: Equilibrium in a duopoly model. Brussels: European Institute For Advanced Studies in Management, 1988.

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29

Manabe, Ryutarō. Scheduling buses by the network flow model on the personal computer. Tarumi, Kobe, Japan: Institute of Economic Research, Kobe University of Commerce, 1986.

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30

Bokhari, Shahid H. A network flow model for load balancing in circuit-switched multicomputers. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, Institute for Computer Applications in Science and Engineering, 1990.

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31

Balakrishnan, Anantaram. Using a hop-constrained model to generate alternative communication network designs. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1990.

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32

Launching of Model Forest Indonesia (2004 Jakarta, Indonesia). Launching model forest Indonesia as part of the International model forest network: Proceedings, Jakarta, 2 December 2004. [Jakarta]: Ministry of Forestry, 2006.

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33

Jorgensen, Charles C. Development of a sensor coordinated kinematic model for neural network controller training. [Moffett Field, Calif.?]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1990.

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34

Walpole, Dennis A. Accessing network databases via SQL transactions in a multi-model database system. Monterey, Calif: Naval Postgraduate School, 1989.

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35

Chang, Yan Ho Frank. The development and specification of an ATM network resource management information model. Ottawa: National Library of Canada, 1996.

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36

Holloway, Michael Bernice. Dynamic pipe network computer model. 1985.

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37

Black, Uyless D. OSI: A Model for Computer Communications Standards. Prentice Hall, 1990.

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38

Black, Uyless D. OSI: A Model for Computer Communications Standards. Prentice Hall, 1990.

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39

A Realistic Model of Network Survivability. Storming Media, 2003.

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40

Wasserman, Theodore, and Lori Drucker Wasserman. Therapy and the Neural Network Model. Springer, 2019.

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41

Yust, Jason. Rhythmic Hierarchy and the Network Model. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190696481.003.0002.

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The idea of rhythmic hierarchy serves as an introduction to temporal structure in music and a network model (the “MOP” or maximal outerplanar graph) used to represent it. Rhythmic hierarchy relates to meter but is conceptually distinct from it. An argument may be made that rhythmic structure precedes meter (“meter as rhythm”) rather than vice versa. Slow movements from F.J. Haydn and C.P.E. Bach demonstrate the analytical utility of a concept of metricality.
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42

Wasserman, Theodore, and Lori Drucker Wasserman. Therapy and the Neural Network Model. Springer International Publishing AG, 2020.

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43

Newman, Mark. The configuration model. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0012.

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A discussion of the most fundamental of network models, the configuration model, which is a random graph model of a network with a specified degree sequence. Following a definition of the model a number of basic properties are derived, including the probability of an edge, the expected number of multiedges, the excess degree distribution, the friendship paradox, and the clustering coefficient. This is followed by derivations of some more advanced properties including the condition for the existence of a giant component, the size of the giant component, the average size of a small component, and the expected diameter. Generating function methods for network models are also introduced and used to perform some more advanced calculations, such as the calculation of the distribution of the number of second neighbors of a node and the complete distribution of sizes of small components. The chapter ends with a brief discussion of extensions of the configuration model to directed networks, bipartite networks, networks with degree correlations, networks with high clustering, and networks with community structure, among other possibilities.
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44

Khoury, Franjieh El. Iris Biometric Model for Secured Network Access. Taylor & Francis Group, 2017.

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45

Halperin, Janet Ruth Patricia *. A connectionist neural network model of aggression. 1990.

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46

Iris Biometric Model for Secured Network Access. Taylor & Francis Inc, 2013.

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47

Kireyev, Alexei P., and Andrei Leonidov. Network Model of Multilaterally Equilibrium Exchange Rates. International Monetary Fund, 2016.

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48

Kireyev, Alexei P., and Andrei Leonidov. Network Model of Multilaterally Equilibrium Exchange Rates. International Monetary Fund, 2016.

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49

Khoury, Franjieh El. Iris Biometric Model for Secured Network Access. Taylor & Francis Group, 2013.

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50

Bennett, Dorothy, M. Lynn Lamoreux, Véronique Delmas, Lionel Larue, and Véronique Delmas. Colors of Mice: A Model Genetic Network. Wiley & Sons, Limited, John, 2010.

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