Weather forecast with Markov Chains in VB6

These applications use transition matrices to make predictions by using a Markov chain. For exemplification, the values from the transition matrix, in any of the three applications, represent the transition probabilities between two states found in a sequence of observations (ex. s=SRSSSRRRSRRSRRRS). These two states are: Sunny and Rainy, or R and S. Based on the initial probability vector, the application calculates how the weather may be on a number of days. More in-depth information on these matters can be found in the primary source.


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