TOKYO, Sept 15 (Bernama-BUSINESS WIRE) -- NTT Communications Corporation (NTT Com), the ICT solutions and international communications business within the NTT (NYSE:NTT) Group, and Mitsui Chemicals, Inc. (Mitsui Chemicals) today announced that they have successfully created a technique that accurately and speedily predicts the quality of gas products. The technique is based on the modeling of the relationship between the different data sets sourced from raw materials feeding into the reactor and reactor conditions, and X gas concentrations which represent gas product quality.
The data is analyzed using Deep Learning algorithms, an artificial intelligence (AI) methodology that automatically processes relevant factors in order to model and predict outcomes. In the gas production process, these factors are represented by 51 types of time-based process data such as temperature, pressure, and flow. The end result is a highly accurate forecast of the quality of the resulting gas products.
The data is analyzed using Deep Learning algorithms, an artificial intelligence (AI) methodology that automatically processes relevant factors in order to model and predict outcomes. In the gas production process, these factors are represented by 51 types of time-based process data such as temperature, pressure, and flow. The end result is a highly accurate forecast of the quality of the resulting gas products.
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