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公开(公告)号:US20200302094A1
公开(公告)日:2020-09-24
申请号:US16752545
申请日:2020-01-24
Applicant: Evolving Machine Intelligence Pty Ltd
Inventor: Nigel John Conrad Greenwood
Abstract: A method of modelling system behaviour of a physical system, the method including, in one or more electronic processing devices obtaining quantified system data measured for the physical system, the quantified system data being at least partially indicative of the system behaviour for at least a time period, forming at least one population of model units, each model unit including model parameters and at least part of a model, the model parameters being at least partially based on the quantified system data, each model including one or more mathematical equations for modelling system behaviour, for each model unit calculating at least one solution trajectory for at least part of the at least one time period; determining a fitness value based at least in part on the at least one solution trajectory; and, selecting a combination of model units using the fitness values of each model unit, the combination of model units representing a collective model that models the system behaviour.
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公开(公告)号:US12026438B2
公开(公告)日:2024-07-02
申请号:US16752545
申请日:2020-01-24
Applicant: Evolving Machine Intelligence Pty Ltd
Inventor: Nigel John Conrad Greenwood
IPC: G06F30/20 , G06F17/00 , G06F17/13 , G06F30/00 , G06F111/06 , G06N3/126 , G16B5/20 , G16B99/00 , G16H50/50
CPC classification number: G06F30/20 , G06F17/00 , G06F17/13 , G06N3/126 , G16B5/20 , G16B99/00 , G06F30/00 , G06F2111/06 , G16H50/50
Abstract: A method of modelling system behaviour of a physical system, the method including, in one or more electronic processing devices obtaining quantified system data measured for the physical system, the quantified system data being at least partially indicative of the system behaviour for at least a time period, forming at least one population of model units, each model unit including model parameters and at least part of a model, the model parameters being at least partially based on the quantified system data, each model including one or more mathematical equations for modelling system behaviour, for each model unit calculating at least one solution trajectory for at least part of the at least one time period; determining a fitness value based at least in part on the at least one solution trajectory; and, selecting a combination of model units using the fitness values of each model unit, the combination of model units representing a collective model that models the system behaviour.
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公开(公告)号:US10565329B2
公开(公告)日:2020-02-18
申请号:US15323199
申请日:2015-06-29
Applicant: Evolving Machine Intelligence Pty Ltd
Inventor: Nigel John Conrad Greenwood
Abstract: A method of modelling system behaviour of a physical system, the method including, in one or more electronic processing devices obtaining quantified system data measured for the physical system, the quantified system data being at least partially indicative of the system behaviour for at least a time period, forming at least one population of model units, each model unit including model parameters and at least part of a model, the model parameters being at least partially based on the quantified system data, each model including one or more mathematical equations for modelling system behaviour, for each model unit calculating at least one solution trajectory for at least part of the at least one time period; determining a fitness value based at least in part on the at least one solution trajectory; and, selecting a combination of model units using the fitness values of each model unit, the combination of model units representing a collective model that models the system behaviour.
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公开(公告)号:US20240320394A1
公开(公告)日:2024-09-26
申请号:US18661975
申请日:2024-05-13
Applicant: Evolving Machine Intelligence Pty Ltd.
Inventor: Nigel John Conrad Greenwood
IPC: G06F30/20 , G06F17/00 , G06F17/13 , G06F30/00 , G06F111/06 , G06N3/126 , G16B5/20 , G16B99/00 , G16H50/50
CPC classification number: G06F30/20 , G06F17/00 , G06F17/13 , G06N3/126 , G16B5/20 , G16B99/00 , G06F30/00 , G06F2111/06 , G16H50/50
Abstract: A method of modelling system behaviour of a physical system, the method including, in one or more electronic processing devices obtaining quantified system data measured for the physical system, the quantified system data being at least partially indicative of the system behaviour for at least a time period, forming at least one population of model units, each model unit including model parameters and at least part of a model, the model parameters being at least partially based on the quantified system data, each model including one or more mathematical equations for modelling system behaviour, for each model unit calculating at least one solution trajectory for at least part of the at least one time period; determining a fitness value based at least in part on the at least one solution trajectory; and, selecting a combination of model units using the fitness values of each model unit, the combination of model units representing a collective model that models the system behaviour.
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公开(公告)号:US20170147722A1
公开(公告)日:2017-05-25
申请号:US15323199
申请日:2015-06-29
Applicant: Evolving Machine Intelligence Pty Ltd
Inventor: Nigel John Conrad Greenwood
CPC classification number: G06F17/5009 , G06F17/00 , G06F17/13 , G06F17/50 , G06F2217/08 , G06N3/126 , G16B99/00 , G16H50/50
Abstract: A method of modelling system behaviour of a physical system, the method including, in one or more electronic processing devices obtaining quantified system data measured for the physical system, the quantified system data being at least partially indicative of the system behaviour for at least a time period, forming at least one population of model units, each model unit including model parameters and at least part of a model, the model parameters being at least partially based on the quantified system data, each model including one or more mathematical equations for modelling system behaviour, for each model unit calculating at least one solution trajectory for at least part of the at least one time period; determining a fitness value based at least in part on the at least one solution trajectory; and, selecting a combination of model units using the fitness values of each model unit, the combination of model units representing a collective model that models the system behaviour.
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