INFORMATION PROCESSING DEVICE AND PROGRAM

WIPO Patent Application WO/2023/135984

A1

The present invention comprises: a machine learning module unit that is provided with an input layer, a reservoir layer, and a readout layer; and a machine learning processing unit that sets the readout layer of the machine learning module unit in a trained state so that the value at time t of at least one physical quantity that evolves over time in a system associated with a plurality of physical phenomena is input and so that the value of the at least one physical quantity at time t+Δt that differs by a time Δt from the time t is output, wherein the machine learning module unit set in the trained state is provided for predetermined information processing related to the system associated with the plurality of physical phenomena.

JP2023088187	ESTIMATION DEVICE, ESTIMATION METHOD, ESTIMATION PROGRAM, AND LEARNING MODEL GENERATION DEVICE
WO/2023/222884	MACHINE LEARNING SYSTEMS WITH COUNTERFACTUAL INTERVENTIONS
WO/2024/030198	EMPIRICAL OPTIMIZATION OF CONCRETE RECIPES VIA TRAINED MIXTURE PREDICTION MODEL

KOTANI KIYOSHI (JP)
WATANABE MAKOTO (JP)
JIMBO YASUHIKO (JP)

PCT/JP2022/044915

July 20, 2023

December 06, 2022

Click for automatic bibliography generation  

UNIV TOKYO (JP)

G06N3/044; G02F1/137; G06N3/049; G06N3/08; G06N20/00

JP2021531529A

2021-11-18

TANAKA, GOHEI ET AL.: "DS-2-3 Echo State Networks with Consideration for Heterogeneity of Neuron Attributes", PROCEEDINGS OF THE 2017 IEICE GENERAL CONFERENCE; 2017.03.22-25, 2017, JP, pages S23 - S24, XP009548178

TAKEI Nobutoshi (JP)

View/Download PDF      PDF Help

Previous Patent: HIGH-STRENGTH STEEL SHEET AND METHOD FOR PRODUCING SAME

Next Patent: RADIO-WAVE SENSOR INSTALLATION ASSISTANCE DEVICE, COMPUTER PROGRAM, AND RADIO-WAVE SENSOR INSTALLATI...