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  1. CPC Sections
  2. CPC Section G
  3. CPC Class G06
  4. CPC Subclass G06N
Printable version [PDF] Version: 2025.08​Loading Scheme...
CPCCOOPERATIVE PATENT CLASSIFICATION
​G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS [2022-01]WARNING
  • In this subclass non-limiting references (in the sense of paragraph 39 of the Guide to the IPC) may still be displayed in the scheme.
G06N 3/00Computing arrangements based on biological models [2022-01]
G06N 3/002. {Biomolecular computers, i.e. using biomolecules, proteins, cells (using DNA G06N 3/123; using neurons G06N 3/061)} [2013-01]
G06N 3/004. Artificial life, i.e. computing arrangements simulating life [2023-01]
G06N 3/006. . based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO] [2023-01]
G06N 3/008. . based on physical entities controlled by simulated intelligence so as to replicate intelligent life forms, e.g. based on robots replicating pets or humans in their appearance or behaviour [2023-01]
G06N 3/02. Neural networks [2023-01]
​G06N 3/04. . Architecture, e.g. interconnection topology [2023-01]WARNING
  • Group G06N 3/04 is impacted by reclassification into groups G06N 3/0464, G06N 3/0475, G06N 3/0495 and G06N 3/0499.All groups listed in this Warning should be considered in order to perform a complete search.
G06N 3/0409. . . {Adaptive resonance theory [ART] networks} [2019-01]
G06N 3/0418. . . {using chaos or fractal principles} [2013-01]
G06N 3/042. . . Knowledge-based neural networks; Logical representations of neural networks [2023-01]
G06N 3/043. . . based on fuzzy logic, fuzzy membership or fuzzy inference, e.g. adaptive neuro-fuzzy inference systems [ANFIS] [2023-01]
​G06N 3/044. . . Recurrent networks, e.g. Hopfield networks [2023-01]WARNING
  • Group G06N 3/044 is impacted by reclassification into group G06N 3/0442.Groups G06N 3/044 and G06N 3/0442 should be considered in order to perform a complete search.
​G06N 3/0442. . . . characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU] [2023-01]WARNING
  • Group G06N 3/0442 is incomplete pending reclassification of documents from group G06N 3/044.Groups G06N 3/044 and G06N 3/0442 should be considered in order to perform a complete search.
​G06N 3/045. . . Combinations of networks [2023-01]WARNING
  • Group G06N 3/045 is impacted by reclassification into group G06N 3/0455.Groups G06N 3/045 and G06N 3/0455 should be considered in order to perform a complete search.
​G06N 3/0455. . . . Auto-encoder networks; Encoder-decoder networks [2023-01]WARNING
  • Group G06N 3/0455 is incomplete pending reclassification of documents from group G06N 3/045.Groups G06N 3/045 and G06N 3/0455 should be considered in order to perform a complete search.
G06N 3/0463. . . {Neocognitrons} [2013-01]
​G06N 3/0464. . . Convolutional networks [CNN, ConvNet] [2023-01]WARNING
  • Group G06N 3/0464 is incomplete pending reclassification of documents from group G06N 3/04.Groups G06N 3/04 and G06N 3/0464 should be considered in order to perform a complete search.
​G06N 3/047. . . Probabilistic or stochastic networks [2023-01]WARNING
  • Group G06N 3/047 is impacted by reclassification into group G06N 3/0475.Groups G06N 3/047 and G06N 3/0475 should be considered in order to perform a complete search.
​G06N 3/0475. . . Generative networks [2023-01]WARNING
  • Group G06N 3/0475 is incomplete pending reclassification of documents from groups G06N 3/04 and G06N 3/047.Groups G06N 3/04, G06N 3/047, and G06N 3/0475 should be considered in order to perform a complete search.
G06N 3/048. . . Activation functions [2023-01]
G06N 3/049. . . Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs [2023-01]
​G06N 3/0495. . . Quantised networks; Sparse networks; Compressed networks [2023-01]WARNING
  • Group G06N 3/0495 is incomplete pending reclassification of documents from group G06N 3/04.Groups G06N 3/04 and G06N 3/0495 should be considered in order to perform a complete search.
​G06N 3/0499. . . Feedforward networks [2023-01]WARNING
  • Group G06N 3/0499 is incomplete pending reclassification of documents from group G06N 3/04.Groups G06N 3/04 and G06N 3/0499 should be considered in order to perform a complete search.
G06N 3/06. . Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons [2013-01]
G06N 3/061. . . {using biological neurons, e.g. biological neurons connected to an integrated circuit} [2013-01]
G06N 3/063. . . using electronic means [2013-01]
G06N 3/065. . . . Analogue means [2023-01]
G06N 3/067. . . using optical means [2013-01]
G06N 3/0675. . . . {using electro-optical, acousto-optical or opto-electronic means} [2013-01]
​G06N 3/08. . Learning methods [2023-01]WARNING
  • Group G06N 3/08 is impacted by reclassification into groups G06N 3/0895, G06N 3/09, G06N 3/091, G06N 3/092, G06N 3/094, G06N 3/096, G06N 3/098 and G06N 3/0985.All groups listed in this Warning should be considered in order to perform a complete search.
G06N 3/082. . . modifying the architecture, e.g. adding, deleting or silencing nodes or connections [2023-01]
G06N 3/084. . . Backpropagation, e.g. using gradient descent [2023-01]
G06N 3/086. . . using evolutionary algorithms, e.g. genetic algorithms or genetic programming [2023-01]
G06N 3/088. . . Non-supervised learning, e.g. competitive learning [2023-01]
​G06N 3/0895. . . Weakly supervised learning, e.g. semi-supervised or self-supervised learning [2023-01]WARNING
  • Group G06N 3/0895 is incomplete pending reclassification of documents from group G06N 3/08.Groups G06N 3/08 and G06N 3/0895 should be considered in order to perform a complete search.
​G06N 3/09. . . Supervised learning [2023-01]WARNING
  • Group G06N 3/09 is incomplete pending reclassification of documents from group G06N 3/08.Groups G06N 3/08 and G06N 3/09 should be considered in order to perform a complete search.
​G06N 3/091. . . Active learning [2023-01]WARNING
  • Group G06N 3/091 is incomplete pending reclassification of documents from group G06N 3/08.Groups G06N 3/08 and G06N 3/091 should be considered in order to perform a complete search.
​G06N 3/092. . . Reinforcement learning [2023-01]WARNING
  • Group G06N 3/092 is incomplete pending reclassification of documents from group G06N 3/08.Groups G06N 3/08 and G06N 3/092 should be considered in order to perform a complete search.
​G06N 3/094. . . Adversarial learning [2023-01]WARNING
  • Group G06N 3/094 is incomplete pending reclassification of documents from group G06N 3/08.Groups G06N 3/08 and G06N 3/094 should be considered in order to perform a complete search.
​G06N 3/096. . . Transfer learning [2023-01]WARNING
  • Group G06N 3/096 is incomplete pending reclassification of documents from group G06N 3/08.Groups G06N 3/08 and G06N 3/096 should be considered in order to perform a complete search.
​G06N 3/098. . . Distributed learning, e.g. federated learning [2023-01]WARNING
  • Group G06N 3/098 is incomplete pending reclassification of documents from group G06N 3/08.Groups G06N 3/08 and G06N 3/098 should be considered in order to perform a complete search.
​G06N 3/0985. . . Hyperparameter optimisation; Meta-learning; Learning-to-learn [2023-01]WARNING
  • Group G06N 3/0985 is incomplete pending reclassification of documents from group G06N 3/08.Groups G06N 3/08 and G06N 3/0985 should be considered in order to perform a complete search.
G06N 3/10. . Interfaces, programming languages or software development kits, e.g. for simulating neural networks [2023-01]
G06N 3/105. . . {Shells for specifying net layout} [2013-01]
G06N 3/12. using genetic models [2013-01]
G06N 3/123. . DNA computing [2023-01]
G06N 3/126. . Evolutionary algorithms, e.g. genetic algorithms or genetic programming [2023-01]
G06N 5/00Computing arrangements using knowledge-based models [2022-01]
G06N 5/01. Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound [2023-01]
G06N 5/013. . {Automatic theorem proving} [2023-01]
G06N 5/02. Knowledge representation; Symbolic representation [2023-01]
G06N 5/022. . Knowledge engineering; Knowledge acquisition [2023-01]
G06N 5/025. . . Extracting rules from data [2023-01]
G06N 5/027. . {Frames} [2013-01]
G06N 5/04. Inference or reasoning models [2023-01]
G06N 5/041. . {Abduction} [2013-01]
G06N 5/042. . {Backward inferencing} [2013-01]
G06N 5/043. . Distributed expert systems; Blackboards [2023-01]
G06N 5/045. . Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence [2023-01]
G06N 5/046. . Forward inferencing; Production systems [2023-01]
G06N 5/047. . . Pattern matching networks; Rete networks [2023-01]
G06N 5/048. . Fuzzy inferencing [2023-01]
G06N 7/00Computing arrangements based on specific mathematical models [2022-01]
G06N 7/01. Probabilistic graphical models, e.g. probabilistic networks [2023-01]
G06N 7/02. using fuzzy logic (computing arrangements based on biological models G06N 3/00; computing arrangements using knowledge-based models G06N 5/00) [2022-01]
G06N 7/023. . {Learning or tuning the parameters of a fuzzy system} [2013-01]
G06N 7/026. . {Development tools for entering the parameters of a fuzzy system} [2013-01]
G06N 7/04. . Physical realisation [2013-01]
G06N 7/043. . . {Analogue or partially analogue implementation} [2013-01]
G06N 7/046. . . {Implementation by means of a neural network (neural networks using fuzzy logic G06N 3/043)} [2023-01]
G06N 7/06. . Simulation on general purpose computers [2013-01]
G06N 7/08. using chaos models or non-linear system models [2013-01]
G06N 10/00Quantum computing, i.e. information processing based on quantum-mechanical phenomena [2025-05]
G06N 10/20. Models of quantum computing, e.g. quantum circuits or universal quantum computers [2025-05]
G06N 10/40. Physical realisations or architectures of quantum processors or components for manipulating qubits, e.g. qubit coupling or qubit control [2025-05]
G06N 10/60. Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms [2025-05]
G06N 10/70. Quantum error correction, detection or prevention, e.g. surface codes or magic state distillation [2025-05]
G06N 10/80. Quantum programming, e.g. interfaces, languages or software-development kits for creating or handling programs capable of running on quantum computers; Platforms for simulating or accessing quantum computers, e.g. cloud-based quantum computing [2025-05]
G06N 20/00Machine learning [2021-08]
G06N 20/10. using kernel methods, e.g. support vector machines [SVM] [2021-08]
G06N 20/20. Ensemble learning [2021-08]
G06N 99/00Subject matter not provided for in other groups of this subclass [2013-01]
G06N 99/007. {Molecular computers, i.e. using inorganic molecules (using biomolecules G06N 3/002)} [2013-01]
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