KROMWYRM

Described in these pages is an artificial intelligence, a learning algorithm, that is used to find patterns within a time series. The acquired time series is a measurable quantity, a collection of data points that vary over time. Collected from the wild it can represent almost anything that changes in time, such as: the count of sunspots, the number of hot dogs sold at a street corner per day, the weekly price of aluminum, etc. The time series to be analyzed is labeled as the output... The output time series is generated at the back end of an unknown unviewable system: the black box. At the front end of the box enter the forces and variables that help produce the output time series, these are called the input and are considered unknowable and unmeasurable. Combining the input with the inner workings of the black box produces the collected output time series... The algorithm searches for the hidden patterns within the output time series by following a set of steps that will try to..