MX2023001663A - Metodo de redes neuronales para generar formulas alimenticias. - Google Patents

Metodo de redes neuronales para generar formulas alimenticias.

Info

Publication number
MX2023001663A
MX2023001663A MX2023001663A MX2023001663A MX2023001663A MX 2023001663 A MX2023001663 A MX 2023001663A MX 2023001663 A MX2023001663 A MX 2023001663A MX 2023001663 A MX2023001663 A MX 2023001663A MX 2023001663 A MX2023001663 A MX 2023001663A
Authority
MX
Mexico
Prior art keywords
ingredients
neuronal networks
food item
networks method
formula
Prior art date
Application number
MX2023001663A
Other languages
English (en)
Inventor
Karim Pichara
Aadit Patel
Ofer Philip Korsunsky
Yoav Navon
Richard Hausman
Original Assignee
Notco Delaware 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
Application filed by Notco Delaware Llc filed Critical Notco Delaware Llc
Publication of MX2023001663A publication Critical patent/MX2023001663A/es

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C60/00—Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/251—Fusion techniques of input or preprocessed data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761—Proximity, similarity or dissimilarity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/10—Analysis or design of chemical reactions, syntheses or processes
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/30—Prediction of properties of chemical compounds, compositions or mixtures
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/70—Machine learning, data mining or chemometrics

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Multimedia (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Evolutionary Biology (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Analytical Chemistry (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • General Preparation And Processing Of Foods (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Se divulgan técnicas para imitar un alimento objetivo usando inteligencia artificial. Se entrena a un generador de fórmulas usando combinaciones de ingredientes. Un conjunto de entrenamiento incluye, para cada combinación de ingredientes, proporciones y características de los ingredientes en una combinación respectiva de ingredientes. Dado un alimento objetivo, el generador de fórmulas determina una fórmula prevista que coincida con el alimento objetivo dado. La fórmula prevista incluye un conjunto de ingredientes y una proporción respectiva de cada ingrediente en el conjunto de ingredientes.
MX2023001663A 2020-08-10 2021-01-27 Metodo de redes neuronales para generar formulas alimenticias. MX2023001663A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/989,413 US10957424B1 (en) 2020-08-10 2020-08-10 Neural network method of generating food formulas
PCT/US2021/015328 WO2022035464A1 (en) 2020-08-10 2021-01-27 Neural network method of generating food formulas

Publications (1)

Publication Number Publication Date
MX2023001663A true MX2023001663A (es) 2023-03-08

Family

ID=74882562

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2023001663A MX2023001663A (es) 2020-08-10 2021-01-27 Metodo de redes neuronales para generar formulas alimenticias.

Country Status (6)

Country Link
US (2) US10957424B1 (es)
EP (1) EP4162493A4 (es)
CN (1) CN116134527A (es)
CA (1) CA3182408C (es)
MX (1) MX2023001663A (es)
WO (1) WO2022035464A1 (es)

Families Citing this family (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11164478B2 (en) 2019-05-17 2021-11-02 NotCo Delaware, LLC Systems and methods to mimic target food items using artificial intelligence
CA3140835C (en) 2019-08-08 2023-05-16 NotCo Delaware, LLC Method of classifying flavors
US10962473B1 (en) 2020-11-05 2021-03-30 NotCo Delaware, LLC Protein secondary structure prediction
US11514350B1 (en) 2021-05-04 2022-11-29 NotCo Delaware, LLC Machine learning driven experimental design for food technology
US11205101B1 (en) * 2021-05-11 2021-12-21 NotCo Delaware, LLC Formula and recipe generation with feedback loop
US11348664B1 (en) 2021-06-17 2022-05-31 NotCo Delaware, LLC Machine learning driven chemical compound replacement technology
IT202100021899A1 (it) * 2021-08-13 2023-02-13 Arcanum Distillery S R L Sistema per la produzione di un prodotto distillato
TWI778789B (zh) * 2021-09-14 2022-09-21 華新麗華股份有限公司 配方建構系統、配方建構方法、內儲程式之電腦可讀取記錄媒體與非暫時性電腦程式產品
US11373107B1 (en) * 2021-11-04 2022-06-28 NotCo Delaware, LLC Systems and methods to suggest source ingredients using artificial intelligence
US11404144B1 (en) 2021-11-04 2022-08-02 NotCo Delaware, LLC Systems and methods to suggest chemical compounds using artificial intelligence
CN114220501A (zh) * 2021-11-24 2022-03-22 江苏大学 炒饭食味特性的快速定量评价方法
US20230223101A1 (en) 2022-01-10 2023-07-13 Climax Foods Inc. Compositions and methods for acylated consumables
CN116522271B (zh) * 2022-01-13 2025-01-10 腾讯科技（深圳）有限公司 特征融合模型处理、样本检索方法、装置和计算机设备
US11941538B2 (en) 2022-01-21 2024-03-26 Climax Foods Inc. System and method for sample evaluation to mimic target properties
US11823070B2 (en) * 2022-01-21 2023-11-21 Climax Foods Inc. System and method for sample evaluation to mimic target properties
WO2023154345A1 (en) 2022-02-09 2023-08-17 Climax Foods Inc. System and method for sensory characterization
US20230289492A1 (en) * 2022-03-10 2023-09-14 Aka Foods LTD Mixture Modeling Systems and Methods
US20260000100A1 (en) * 2022-08-19 2026-01-01 The Live Green Group, Inc., Plant-only cheese flavoring replacement system in food products
US11982661B1 (en) 2023-05-30 2024-05-14 NotCo Delaware, LLC Sensory transformer method of generating ingredients and formulas
CN117216390B (zh) * 2023-09-13 2026-04-17 四川蜀信云茶信息科技有限公司 饮品配料清单生成方法、装置、电子设备和存储介质
CN117912599B (zh) * 2024-03-20 2024-05-28 西安大业食品有限公司 基于人工智能的食品添加剂检测方法

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140220217A1 (en) 2011-07-12 2014-08-07 Maraxi, Inc. Method and compositions for consumables
US20170116517A1 (en) * 2015-10-27 2017-04-27 International Business Machines Corporation System and method for generating material compositions
US9870550B2 (en) * 2015-11-12 2018-01-16 International Business Machines Corporation Modifying existing recipes to incorporate additional or replace existing ingredients
US10839151B2 (en) * 2017-12-05 2020-11-17 myFavorEats Ltd. Systems and methods for automatic analysis of text-based food-recipes
US10776856B2 (en) * 2018-01-25 2020-09-15 Kraft Foods Group Brands Llc Method and system for improving food-related personalization
US10720235B2 (en) * 2018-01-25 2020-07-21 Kraft Foods Group Brands Llc Method and system for preference-driven food personalization
US20190295440A1 (en) * 2018-03-23 2019-09-26 Nutrino Health Ltd. Systems and methods for food analysis, personalized recommendations and health management
CN113711240A (zh) * 2018-11-13 2021-11-26 旅游食品股份有限公司 基于神经网络的食谱生成
US11164478B2 (en) 2019-05-17 2021-11-02 NotCo Delaware, LLC Systems and methods to mimic target food items using artificial intelligence

Also Published As

Publication number Publication date
WO2022035464A1 (en) 2022-02-17
EP4162493A4 (en) 2024-12-18
EP4162493A1 (en) 2023-04-12
CA3182408A1 (en) 2022-02-17
US20220044768A1 (en) 2022-02-10
CN116134527A (zh) 2023-05-16
US10957424B1 (en) 2021-03-23
CA3182408C (en) 2023-07-25

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