Abstract: An approach is provided in which an information handing system determines a hidden cycle of hidden evidence based on one of multiple signals in a frequency-based representation of source evidence. The information handling system extrapolates the hidden evidence to create a forecast data set and, in turn, utilizes the forecast data set to process a request.

Abstract: Systems and methods for neural network forecasting for tiered hydroponic farming configurations are disclosed. In embodiments, a computer-implemented method includes: determining, by a computing device, ecology factors associated with a plant of interest; determining, by the computing device, beneficial interdependencies of the ecology factors associated with the plant of interest using an artificial neural network system; and generating, by the computing device, an ecology framework for the plant of interest within a cultivation system based on the beneficial interdependencies of the ecology factors, wherein the ecology framework reflects ecological conditions desired to promote healthy growth of the plant of interest.

Abstract: Systems and methods for neural network forecasting for tiered hydroponic farming configurations are disclosed. In embodiments, a computer-implemented method includes: determining, by a computing device, ecology factors associated with a plant of interest; determining, by the computing device, beneficial interdependencies of the ecology factors associated with the plant of interest using an artificial neural network system; and generating, by the computing device, an ecology framework for the plant of interest within a cultivation system based on the beneficial interdependencies of the ecology factors, wherein the ecology framework reflects ecological conditions desired to promote healthy growth of the plant of interest.

Abstract: An approach is provided in which an information handing system converts source evidence extracted from a set of documents to a frequency-based representation of the source evidence. The frequency-based representation includes multiple signals that each corresponds to an evidence type in the source evidence. The information handing system selects one of the signals that indicates a hidden cycle corresponding to a frequency at which one of the evidence types occurs in the source evidence and extracts hidden evidence from the source evidence based on the hidden cycle to process a request.

Abstract: An approach is provided in which an information handing system determines a hidden cycle of hidden evidence based on one of multiple signals in a frequency-based representation of source evidence. The information handling system extrapolates the hidden evidence to create a forecast data set and, in turn, utilizes the forecast data set to process a request.

Abstract: An approach is provided in which an information handing system converts source evidence extracted from a set of documents to a frequency-based representation of the source evidence. The frequency-based representation includes multiple signals that each corresponds to an evidence type in the source evidence. The information handing system selects one of the signals that indicates a hidden cycle corresponding to a frequency at which one of the evidence types occurs in the source evidence and extracts hidden evidence from the source evidence based on the hidden cycle to process a request.