MX2023007702A - Automated feature extraction using genetic programming. - Google Patents

Automated feature extraction using genetic programming.

Info

Publication number
MX2023007702A
MX2023007702A MX2023007702A MX2023007702A MX2023007702A MX 2023007702 A MX2023007702 A MX 2023007702A MX 2023007702 A MX2023007702 A MX 2023007702A MX 2023007702 A MX2023007702 A MX 2023007702A MX 2023007702 A MX2023007702 A MX 2023007702A
Authority
MX
Mexico
Prior art keywords
randomly generated
list
programs
condition
genetic programming
Prior art date
Application number
MX2023007702A
Other languages
Spanish (es)
Inventor
David James Landaeta
Original Assignee
Natural Computation LLC
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
Priority claimed from US17/137,934 external-priority patent/US11501850B2/en
Application filed by Natural Computation LLC filed Critical Natural Computation LLC
Publication of MX2023007702A publication Critical patent/MX2023007702A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/086—Learning methods using evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/12—Computing arrangements based on biological models using genetic models
    • G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Physiology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Genetics & Genomics (AREA)
  • Complex Calculations (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Stored Programmes (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Debugging And Monitoring (AREA)

Abstract

A method evolves generic computational building blocks. The method initializes a parent population with randomly generated programs or programs evolved by a genetic programming instance that uses randomized targets. The method also obtains a list of randomly generated test inputs. The method generates a target dataset that includes input- output pairs of randomly generated binary strings. The method also applies a fitness function to assign a fitness score to each program, based on the target dataset. The method grows a seed list by applying genetic operators, and selecting offspring that satisfy a novelty condition. The novelty condition is representative of an ability of a program to produce unique output for the list of randomly generated test inputs. The method iterates until a terminating condition has been satisfied. The terminating condition is representative of an ability of programs in the seed list to solve one or more genetic programming instances.
MX2023007702A 2020-12-30 2021-12-30 Automated feature extraction using genetic programming. MX2023007702A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US17/137,934 US11501850B2 (en) 2019-12-06 2020-12-30 Automated feature extraction using genetic programming
PCT/US2021/065599 WO2022147190A1 (en) 2020-12-30 2021-12-30 Automated feature extraction using genetic programming

Publications (1)

Publication Number Publication Date
MX2023007702A true MX2023007702A (en) 2023-07-10

Family

ID=82259659

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2023007702A MX2023007702A (en) 2020-12-30 2021-12-30 Automated feature extraction using genetic programming.

Country Status (7)

Country Link
EP (1) EP4272133A1 (en)
JP (1) JP2024502030A (en)
KR (1) KR20230121892A (en)
CN (1) CN116685988A (en)
CA (1) CA3203102A1 (en)
MX (1) MX2023007702A (en)
WO (1) WO2022147190A1 (en)

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2001285191A1 (en) * 2000-08-23 2002-03-04 Minetech, Inc. Genetic programming for performing direct marketing
US7437335B2 (en) * 2004-12-07 2008-10-14 Eric Baum Method and system for constructing cognitive programs
US10095718B2 (en) * 2013-10-16 2018-10-09 University Of Tennessee Research Foundation Method and apparatus for constructing a dynamic adaptive neural network array (DANNA)

Also Published As

Publication number Publication date
WO2022147190A1 (en) 2022-07-07
JP2024502030A (en) 2024-01-17
KR20230121892A (en) 2023-08-21
CA3203102A1 (en) 2022-07-07
CN116685988A (en) 2023-09-01
EP4272133A1 (en) 2023-11-08

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