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Search results for keyword: markov
Initial Fault Diagnosis Method of CNC Machine Tool PLC
Introduction The past few decades have brought about a revolution in the field of machine tool engineering, producing machines that are smaller, faster, and more precise than ever before. One major aspect of this revolution is the development of programmable logic controllers (PLCs) to control th......
tags: used fault diagnosis fault plc cnc
1044
Sadie
Classification and selection of annealing
Simulated Annealing Simulated Annealing is a Metaheuristic method approximating the global optima of a given function. It is typically used to solve complex optimization problems, especially those that are not easily solved by traditional optimization techniques. The Simulated Annealing technique......
Separation of zirconium and hafnium by recrystallization
Separation of Zirconium and Hafnium by Ion Exchange Chromatography Using the Cation Exchange Resin Abstract Zirconium and hafnium are a pair of chemically similar elements that are difficult to separate in the environment. In this research, preparative isolation of zirconium and hafnium was achi......
tags: zirconium hafnium hf hafnium zirconium then
1052
Melanie
markov Transition Matrix Method
markov Chain Transfer Matrix Method markov Chain Transfer Matrix (MCTM) is a mathematical tool used to improve the performance and accuracy of analysis of natural phenomena. It was introduced in the 1940s by K.S. markov and has since been widely adopted for use in a variety of applications. This ......
tags: used matrix mctm model markov can
1041
Hazel
Markowitz's mean-variance combined model
markovitzs Mean Variance Combination Model Harry Markowitz, the founder of modern portfolio theory, developed the Mean Variance combination model. His research states that investors choose their portfolios so they receive the highest expected return while also taking the least amount of risk. The......
markov
markov Processes markov Processes are a powerful tool for modelling and analysing systems that evolve over time. markov Processes are stochastic processes, which means that their behaviour is determined by randomness rather than pre-determined logic. This makes them especially useful for predicti......
tags: markov processes can markov processes used
1041
Alice
markov Time Series Forecasting Method
Introduction markov chain Monte Carlo (MCMC) is a probabilistic technique used for predicting future events. MCMC employs the markov chain procedure to generate sequences of random numbers that reconfigure a pattern of the environment according to a probability distribution. It is most commonly u......
tags: probability used mcmc used can model
18/07/2023
1052
Sophia
near term sales forecast
Recent prediction of sale The ability to predict sale in advance has always been a challenge for companies. Knowing how much a company will sale can help them better plan their marketing processes and resources. Recent advances in machine learning and predictive analytics have made it possible t......
tags: can data sales can sales their
16/07/2023
1072
Sophie
transition probability
Probability theory is an important field of mathematics that deals with the analysis of patterns and outcomes in any given situation. It is used in many fields of science, engineering, finance and even gaming. Probability theory helps us to better understand and predict future events. At its core......
tags: probability can outcomes transition probabilities behavior
15/07/2023
1077
Lila
Statistical Decision Theory
Statistics Decision Theory Statistics decision theory is a branch of mathematics which deals with the process of making decisions based on mathematical models. It combines the principles of mathematics and statistics with the process of decision making to provide insights and improve decision maki......
tags: decision theory data decision theory optimal
10/07/2023
1044
Emily
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