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AU2001295435A1 - Expectation sampling and perception control - Google Patents

Expectation sampling and perception control

Info

Publication number
AU2001295435A1
AU2001295435A1 AU2001295435A AU9543501A AU2001295435A1 AU 2001295435 A1 AU2001295435 A1 AU 2001295435A1 AU 2001295435 A AU2001295435 A AU 2001295435A AU 9543501 A AU9543501 A AU 9543501A AU 2001295435 A1 AU2001295435 A1 AU 2001295435A1
Authority
AU
Australia
Prior art keywords
perception control
expectation sampling
expectation
sampling
perception
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
AU2001295435A
Inventor
Preben Alstrom
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Core AS
Original Assignee
CORE AS
Core AS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CORE AS, Core AS filed Critical CORE AS
Publication of AU2001295435A1 publication Critical patent/AU2001295435A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only

Landscapes

  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Feedback Control In General (AREA)
AU2001295435A 2000-10-10 2001-10-10 Expectation sampling and perception control Abandoned AU2001295435A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DKPA200001508 2000-10-10
DKPA200001508 2000-10-10
PCT/DK2001/000660 WO2002031606A1 (en) 2000-10-10 2001-10-10 Expectation sampling and perception control

Publications (1)

Publication Number Publication Date
AU2001295435A1 true AU2001295435A1 (en) 2002-04-22

Family

ID=8159780

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2001295435A Abandoned AU2001295435A1 (en) 2000-10-10 2001-10-10 Expectation sampling and perception control

Country Status (2)

Country Link
AU (1) AU2001295435A1 (en)
WO (1) WO2002031606A1 (en)

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5504692A (en) * 1992-06-15 1996-04-02 E. I. Du Pont De Nemours Co., Inc. System and method for improved flow data reconciliation
ATE240557T1 (en) * 1992-11-24 2003-05-15 Pavilion Tech Inc OPERATING A NEURONAL NETWORK WITH MISSING AND/OR INCOMPLETE DATA
US5825646A (en) * 1993-03-02 1998-10-20 Pavilion Technologies, Inc. Method and apparatus for determining the sensitivity of inputs to a neural network on output parameters
ATE193388T1 (en) * 1996-02-02 2000-06-15 Rodney Michael John Coterill METHOD FOR PROCESSING DATA STREAMS IN A NEURONAL NETWORK AND A NEURONAL NETWORK
US6169981B1 (en) * 1996-06-04 2001-01-02 Paul J. Werbos 3-brain architecture for an intelligent decision and control system

Also Published As

Publication number Publication date
WO2002031606A1 (en) 2002-04-18

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