CPC Scheme - G06N COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

Version: 2022.08

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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. computers simulating life} [2013-01]

G06N 3/006

. .

{based on simulated virtual individual or collective life forms, e.g. single "avatar", social simulations, virtual worlds or particle swarm optimisation} [2019-01]

G06N 3/008

. .

{based on physical entities controlled by simulated intelligence so as to replicate intelligent life forms, e.g. robots replicating pets or humans in their appearance or behavior} [2019-01]

G06N 3/02

using neural network models [2019-01]

G06N 3/04

. .

Architectures, e.g. interconnection topology [2013-01]

G06N 3/0409

. . .

{Adaptive resonance theory [ART] networks} [2019-01]

G06N 3/0418

. . .

{using chaos or fractal principles} [2013-01]

G06N 3/0427

. . .

{in combination with an expert system} [2013-01]

G06N 3/0436

. . .

{in combination with fuzzy logic} [2013-01]

G06N 3/0445

. . .

{Feedback networks, e.g. hopfield nets, associative networks} [2013-01]

G06N 3/0454

. . .

{using a combination of multiple neural nets} [2013-01]

G06N 3/0463

. . .

{Neocognitrons} [2013-01]

G06N 3/0472

. . .

{using probabilistic elements, e.g. p-rams, stochastic processors} [2013-01]

G06N 3/0481

. . .

{Non-linear activation functions, e.g. sigmoids, thresholds} [2013-01]

G06N 3/049

. . .

{Temporal neural nets, e.g. delay elements, oscillating neurons, pulsed inputs} [2013-01]

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 3/0635

. . . .

{using analogue means} [2013-01]

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 [2013-01]

G06N 3/082

. . .

{modifying the architecture, e.g. adding or deleting nodes or connections, pruning} [2013-01]

G06N 3/084

. . .

{Back-propagation} [2013-01]

G06N 3/086

. . .

{using evolutionary programming, e.g. genetic algorithms} [2013-01]

G06N 3/088

. . .

{Non-supervised learning, e.g. competitive learning} [2013-01]

G06N 3/10

. .

Simulation on general purpose computers [2013-01]

G06N 3/105

. . .

{Shells for specifying net layout} [2013-01]

G06N 3/12

using genetic models [2013-01]

G06N 3/123

. .

{DNA computers, i.e. information processing using biological DNA} [2013-01]

G06N 3/126

. .

{Genetic algorithms, i.e. information processing using digital simulations of the genetic system} [2013-01]

G06N 5/00

Computing arrangements using knowledge-based models [2022-01]

G06N 5/003

{Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound} [2019-01]

G06N 5/006

. .

{Automatic theorem proving} [2013-01]

G06N 5/02

Knowledge representation [2019-01]

G06N 5/022

. .

{Knowledge engineering; Knowledge acquisition} [2019-01]

G06N 5/025

. .

{Extracting rules from data} [2019-01]

G06N 5/027

. .

{Frames} [2013-01]

G06N 5/04

Inference methods or devices [2013-01]

G06N 5/041

. .

{Abduction} [2013-01]

G06N 5/042

. .

{Backward inferencing} [2013-01]

G06N 5/043

. .

{Distributed expert systems; Blackboards} [2019-01]

G06N 5/045

. .

{Explanation of inference steps} [2013-01]

G06N 5/046

. .

{Forward inferencing; Production systems} [2019-01]

G06N 5/047

. . .

{Pattern matching networks; RETE networks} [2019-01]

G06N 5/048

. .

{Fuzzy inferencing} [2013-01]

G06N 7/00

Computing arrangements based on specific mathematical models [2022-01]

G06N 7/005

{Probabilistic networks} [2013-01]

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 3/0436)} [2013-01]

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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