Abstract: A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes identifying, among pieces of feature information of a plurality of pieces of time-series data, a plurality of pieces of feature information similar to feature information of processing target time-series data, obtaining a predicted value distribution of the processing target time-series data based on each of the plurality of pieces of feature information, obtaining a combined distribution from the predicted value distribution, and determining a range of predicted value for the processing target time-series data based on the combined distribution.

Abstract: An information processing apparatus calculates, based on result data indicative of a result value for a first demand quantity which arises for a first period, a first profit obtained by optimizing an operation quantity according to the result value, calculates a first prediction value for the first demand quantity by using a trained prediction model, determines, based on a comparison between the first profit and a second profit obtained by optimizing the operation quantity according to a second prediction value obtained by correcting the first prediction value with a correction model, the correction model, and calculates a third prediction value for a second demand quantity which arises for a second period different from the first period by using the prediction model and the correction model and outputs plan data indicative of the operation quantity optimized according to the third prediction value.

Abstract: A non-transitory computer-readable recording medium stores an information processing program for causing a computer to execute a process including generating a representative scenario representing a plurality of forecast scenarios, generating a representative model enabling to calculate a future value of a third variable by using a value of a first variable defined by the representative scenario and a value of a second variable, generating a deviation model representing a deviation between the representative model and a prediction model, identifying a mathematical expression enabling to calculate an analytical solution for a deviation of the second variable so as to optimize a value of a first objective variable, calculating a reference solution for the value of the second variable so as to optimize a value of a second objective variable, and calculating a numerical value solution for the value of the second variable, based on the reference solution and the analytical solution.

Abstract: A non-transitory computer-readable recording medium storing a control program for causing a computer to execute a process for controlling a system. The process includes, obtaining a result of a target that fluctuates in accordance with control performed by a system, calculating a weight for a control value in accordance with the result, a history of the control value input to the system and a comparison between the result and a predetermined range, calculating the control value based on the result and the weight, and inputting the calculated control value to the system to control the target.

Abstract: A non-transitory computer-readable recording medium stores a control program causing a computer to execute a processing including: acquiring an actual result of a target that fluctuates according to a control by a system; calculating a weight for a control values to be input to the system according to a comparison between the actual result and a specific range; calculating the control value based on the actual result and the weight; and controlling the target by inputting the calculated control value to the system.

Abstract: A non-transitory computer-readable recording medium stores a model generation program for causing a computer to execute a process including: obtaining a plurality of pieces of data; inputting the plurality of pieces of data to a first model and obtaining a plurality of prediction results; determining importance of each of the plurality of pieces of data based on the plurality of prediction results; and generating a second model based on the determined importance and the plurality of pieces of data.

Abstract: A game apparatus includes a first LCD and a second LCD, and game screens are displayed on the two LCDs. On the lower screen displayed on the second LCD, a first player object is moved according to a touch operation. In response thereto, on the upper screen displayed on the first LCD, the second player object is moved to be in symmetric relation to the first player object with respect to a point. Furthermore, when an upward flipping operation is performed, the two objects are interchanged. Thereupon, the second player object is moved in accordance with a touch operation, and according thereto, the first player object is moved so as to be a symmetric relation to the second player object with respect to a point.

Abstract: A game apparatus includes a first LCD and a second LCD, and game screens are displayed on the two LCDs. On the lower screen displayed on the second LCD, a first player object is moved according to a touch operation. In response thereto, on the upper screen displayed on the first LCD, the second player object is moved to be in symmetric relation to the first player object with respect to a point. Furthermore, when an upward flipping operation is performed, the two objects are interchanged. Thereupon, the second player object is moved in accordance with a touch operation, and according thereto, the first player object is moved so as to be a symmetric relation to the second player object with respect to a point.