Markov process is one of the well-known mathematical modeling tools in stochastic theory. In this study, a Markov chain model has been developed and applied to image denoising. The transition probabilities were obtained from Fokker–Planck diffusion equation. According to the results, the proposed ...
BOUZAOUIT A., BENNIS O., BENOTMANE Z., (2011) Application of Markov chain for monitoring the bearing roller degradation, Journal of Engineering Studies and Research - Volume 17, No. 1, pp: 7-12.Bouzaouit, A., Bennis, O., Benotmane, Z. (2011) Application of Markov chain for ...
Application of Markov Chain Model to The Data Prediction of GIS马尔科夫链模型在GIS数据预测中的应用 胡腾波,叶建栲 Keywords: GIS,数据挖掘,马尔科夫链模型,状态转移概率,状态转移概率矩阵,预测 Full-Text Cite this paper Add to My Lib Abstract: 随着GIS(地理信息系统)技术的不断发展,其应用领域越来越...
Application of Markov Chain Model to Calculate the Average Number of Times of Use of a Material in Society An Allocation Methodology for Open-Loop Recyclin... Application of Markov chain model to calculate the average number of times of use of a material in society e part 2. International ...
The resulting Markov chain is small enough that it can be easily presented in a classroom setting, yet the model is sufficiently complex that algebraic manipulation is nearly hopeless. The final results illustrate the power of the combination of mathematical and computer modeling applied to a ...
Learn the definition of the Markov chain, understand the Markov chain formula, and discover the use of Markov chain applications through examples. Updated: 11/21/2023 Table of Contents What is Markov Chain? Types of Markov Chain Markov Chain Formula Markov Chain Applications Markov Chain Examples...
Some series can be expressed by a first-order discrete-time Markov chain and others must be expressed by a higher-order Markov chain model. Numerical examples are given. The results show that the performance and effectiveness of the Markov chain model to predict the time series is very well....
Based on the special characteristics of the river runoff being a dependent stochastic variable, a method, which is used to predict the state of the future river runoff by regarding the standardized self\|correlation coefficients as weights and using the weighted markov chains, is developed.Furthermo...
The recently proposed two-dimensional (2-D) Markov chain conditional simulation approach has the advantage of incorporating interclass dependences into simulation of categorical variables, which is crucial for spatial prediction and uncertainty assessment of multinomial land-cover classes. To work with sampl...
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