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discrete cellular automata model

Evaluation Of A Self-Modifying Cellular Automata In Modelling Urban Growth In Nyeri (Kenya)

Evaluation Of A Self-Modifying Cellular Automata In Modelling Urban Growth In Nyeri (Kenya)

... the model and include: Dispersion, Breed, Spread, Slope Resistance, and Road ...on Cellular Automata (CA). CA is a discrete dynamic system in which space is divided into regular spatial cells, ...

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Dynamic simulation of urban expansion based on cellular automata and logistic regression model: Case study of Hyrcanian region of Iran

Dynamic simulation of urban expansion based on cellular automata and logistic regression model: Case study of Hyrcanian region of Iran

... a discrete random process with the cellular lattice where the transition probability matrix based on neighborhood effects is applied in a spatial influence logarithm ...this model is key-descriptive ...

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Modeling cell adhesion and proliferation: a cellular-automata based approach

Modeling cell adhesion and proliferation: a cellular-automata based approach

... the cellular automata, which is a dynamic system that is discrete both in space and ...computer model based on cellular automata for the adhesion process and cell proliferation ...

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Architectural Model of a Biological Retina Using Cellular Automata

Architectural Model of a Biological Retina Using Cellular Automata

... used cellular automata (CA) [4] [34] because they lean on discrete principles and thus avoid the complex equations that would otherwise be required to model the ...problem. Cellular ...

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Coupled cellular automata for frozen soil processes

Coupled cellular automata for frozen soil processes

... to model subsurface ...lular automata; direct solving) model to simulate moisture transfer in the unsaturated ...CA model by coupling it with a surface–vegetation–atmosphere-transfer scheme to ...

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Pattern Generation of Digital Images Using two Dimensional Cellular Automata, Nine Neighborhood Model

Pattern Generation of Digital Images Using two Dimensional Cellular Automata, Nine Neighborhood Model

... CA model is composed of cell, state set of cell, neighbourhood and local ...in discrete steps and the rules of the universe are expressed by a single receipt through which, at each step computes its new ...

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Study on the cell size in the simulation of a cellular automaton model for hillslope rill erosion

Study on the cell size in the simulation of a cellular automaton model for hillslope rill erosion

... by cellular automata. Celullar automata are discrete (dynamical) systems whose behaviour is completely specified in terms of a local ...at discrete time steps, this kind of local ...

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Discrete Simulation of Sound Propagation in the City Based on Cellular Automaton

Discrete Simulation of Sound Propagation in the City Based on Cellular Automaton

... Simulation of Sound Propagation by CA: Spatial Aspects and Parallel Implementation Cellular automata constitute a way to model complex systems such as the phenomenon of wave propagation,[r] ...

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Reduction of Continuous Neuronal Model to Discrete Binary Automata

Reduction of Continuous Neuronal Model to Discrete Binary Automata

... FHN model was reduced to a discrete model with binary ...the discrete model are expressed as functions of the initial parameters and the dynamics of the isolated binary neuron display ...

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A Model of Cellular Automata for the Fuzzy Control of Aphids

A Model of Cellular Automata for the Fuzzy Control of Aphids

... In short, CA consists of a simulation which is discrete in time, space and state of the systems. The idea of these models consists in considering each position (or region) of the spatial dominion as a cell which ...

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Introduction to the Modeling and Analysis of Complex Systems

Introduction to the Modeling and Analysis of Complex Systems

... The book is divided into three parts. Part I provides a basic introduction to the art and science of model building and gives a brief historical overview of complex system modeling. Part II is concerned with ...

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Gray Level Image Edge Detection Using a Hybrid Model of Cellular Learning Automata and Stochastic Cellular Automata

Gray Level Image Edge Detection Using a Hybrid Model of Cellular Learning Automata and Stochastic Cellular Automata

... To have high quality edge detection method, an algorithm with four stages is employed. In the first stage standard deviation is calculated using Moore neighborhood [14]. Those edges which are extracted in this stage ...

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EPIDEMIOLOGY THROUGH CELLULAR AUTOMATA

EPIDEMIOLOGY THROUGH CELLULAR AUTOMATA

... beginning, cellular automata were a model in physics to analyze the dynamics of micro-scale particle, such as thermodynamic rule, spin-glass model, etc (Wolfram, ...that cellular ...

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A study of the infectious disease with incubation period model based on cellular automata

A study of the infectious disease with incubation period model based on cellular automata

... Cellular Automata (referred to as CA hereon) [1], suggested by Von Neumann, is a dynamic system model in which space and time are discrete, and local interactions induce global varia- ...

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Modeling and Simulation of Passenger Flow Distribution in Urban Rail Transit Hub Platform

Modeling and Simulation of Passenger Flow Distribution in Urban Rail Transit Hub Platform

... Anylogic is a professional simulation environment for virtual prototyping based on UML-RT, Java and differential equation. It is efficiently used for the simulation of complex systems which contain discrete ...

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Case Simulation of Pedestrian Movements using Cellular Automata Model

Case Simulation of Pedestrian Movements using Cellular Automata Model

... dimensional cellular automaton model for the simulation of pedestrian ...The model is extremely efficient and allows simulations of large crowds faster than real time since it includes only ...

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3D Cellular Automata Fracture Model for Porous Graphite Microstructures

3D Cellular Automata Fracture Model for Porous Graphite Microstructures

... The main problem of analytical approaches to stress calculation is the description of the stress field around a pore of arbitrary shape. We propose an approximation procedure based on the CA technique for the estimation ...

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Cellular automata and dynamical systems

Cellular automata and dynamical systems

... We obtain results on the transition from limit cycle to limit point behaviour as the rule probabilities are decreased.We also study differences between the behaviour of certain cellular [r] ...

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Identification of probabilistic cellular automata

Identification of probabilistic cellular automata

... A BPCA comprises a lattice of cells, each taking only zero or one as the state, and a probabilistic local transition rule which specifies at any discrete time step the state of a cell as a func- tion of the states ...

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Application of multiple linear regression model in the performance analysis of traffic rules

Application of multiple linear regression model in the performance analysis of traffic rules

... overtaking model is ...this model is especially suitable for the near S shaped ...overtaking model, the left lane vehicle also applies to the lane-changing ...

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