Method, information processing device, and recording medium storing instructions for prediction
AssigneeDIC Corporation
InventorAtsushi Nagao
Life of this patent
Estimating the term…
Abstract
A method for prediction executed by an information processing device includes: training a neural network model based on actual data on a prediction target; and predicting an objective factor related to the prediction target based on explanatory factors related to the prediction target by the neural network model. The neural network model includes an input layer, an intermediate layer, and an output layer, and a coefficient of an activation function of the intermediate layer is larger than a coefficient of an activation function of the output layer.
Claims10
A method for prediction executed by an information processing device, the method comprising:
- training a neural network model based on actual data on a prediction target;
- and
- predicting an objective factor related to the prediction target based on explanatory factors related to the prediction target by the neural network model, wherein
- the neural network model comprises an input layer, an intermediate layer, and an output layer, and
- a coefficient of an activation function of the intermediate layer is larger than a coefficient of an activation function of the output layer.
An information processing device comprising:
- a processor that
- trains a neural network model based on actual data on a prediction target, and
- predicts an objective factor related to the prediction target based on explanatory factors related to the prediction target by the neural network model, and
- the neural network model comprises an input layer, an intermediate layer, and an output layer, and
- a coefficient of an activation function of the intermediate layer is larger than a coefficient of an activation function of the output layer.
A non-transitory computer-readable recording medium storing instructions executed by an information processing device that comprises a processor, the instructions causing the processor to execute:
- training a neural network model based on actual data on a prediction target;
- and
- predicting an objective factor related to the prediction target based on explanatory factors related to the prediction target by the neural network model, wherein
- the neural network model comprises an input layer, an intermediate layer, and an output layer, and
- a coefficient of an activation function of the intermediate layer is larger than a coefficient of an activation function of the output layer.
Dependencies are inferred from the claim text.