CPC Scheme - G06N COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

Version: 2022.01

Loading Scheme...

This area was updated. Please refer to the CPC Notices of Changes and Notices of Editorial Corrections for more information.

			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]

Browse By Topic

About This Site

USPTO Background

Federal Government