CPC Scheme - G06N COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

Version: 2023.02

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			CPC	COOPERATIVE PATENT CLASSIFICATION
			G06N	COMPUTING 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 3/00

Computing 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 5/00

Computing 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 7/00

Computing 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 10/00

Quantum computing, i.e. information processing based on quantum-mechanical phenomena [2022-01]

WARNING

Group G06N 10/00 is impacted by reclassification into groups G06N 10/20, G06N 10/40, G06N 10/60, G06N 10/70 and G06N 10/80.
All groups listed in this Warning should be considered in order to perform a complete search.

G06N 10/20

Models of quantum computing, e.g. quantum circuits or universal quantum computers [2022-01]

WARNING

Group G06N 10/20 is incomplete pending reclassification of documents from group G06N 10/00.
Groups G06N 10/00 and G06N 10/20 should be considered in order to perform a complete search.

G06N 10/40

Physical realisations or architectures of quantum processors or components for manipulating qubits, e.g. qubit coupling or qubit control [2022-01]

WARNING

Group G06N 10/40 is incomplete pending reclassification of documents from group G06N 10/00.
Groups G06N 10/00 and G06N 10/40 should be considered in order to perform a complete search.

G06N 10/60

Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms [2022-01]

WARNING

Group G06N 10/60 is incomplete pending reclassification of documents from group G06N 10/00.
Groups G06N 10/00 and G06N 10/60 should be considered in order to perform a complete search.

G06N 10/70

Quantum error correction, detection or prevention, e.g. surface codes or magic state distillation [2022-01]

WARNING

Group G06N 10/70 is incomplete pending reclassification of documents from group G06N 10/00.
Groups G06N 10/00 and G06N 10/70 should be considered in order to perform a complete search.

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 [2022-01]

WARNING

Group G06N 10/80 is incomplete pending reclassification of documents from group G06N 10/00.
Groups G06N 10/00 and G06N 10/80 should be considered in order to perform a complete search.

G06N 20/00

Machine 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 99/00

Subject 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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