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This page displays all 「FI」 in main group G06N3/00. |
HB:Handbook | ||||
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CC:Concordance | |||||
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Computing arrangements based on biological models [7, 2006.01, 2023.01] | HB | CC | 5B278 | |
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.Biomolecular computers, i.e. using biomolecules, proteins or cells (using DNA G06N3/12, using neurons G06N3/06) | HB | CC | 5B278 | |
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.Artificial life, i.e. computing arrangements simulating life [2023.01] | HB | CC | 5B278 | |
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.. based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO] [2023.01] | HB | CC | 5B278 | |
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.. 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] | HB | CC | 5B278 | |
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.Neural networks [7, 2006.01] | HB | CC | 5B278 | |
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..Architecture, e.g. interconnection topology [7, 2006.01, 2023.01] | HB | CC | 5B278 | |
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...Graph neural networks | HB | CC | 5B278 | |
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...Knowledge-based neural networks; Logical representations of neural networks [2023.01] | HB | CC | 5B278 | |
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...based on fuzzy logic, fuzzy membership or fuzzy inference, e.g. adaptive neuro-fuzzy inference systems [ANFIS] [2023.01] | HB | CC | 5B278 | |
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...Recurrent networks, e.g. Hopfield networks [2023.01] | HB | CC | 5B278 | |
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....Reservoir computing | HB | CC | 5B278 | |
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.... characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU] [2023.01] | HB | CC | 5B278 | |
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...Combinations of networks [2023.01] | HB | CC | 5B278 | |
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.... Auto-encoder networks; Encoder-decoder networks [2023.01] | HB | CC | 5B278 | |
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...Convolutional networks [CNN, ConvNet] [2023.01] | HB | CC | 5B278 | |
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...Probabilistic or stochastic networks [2023.01] | HB | CC | 5B278 | |
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...Generative networks [2023.01] | HB | CC | 5B278 | |
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...Activation functions [2023.01] | HB | CC | 5B278 | |
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...Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs [2023.01] | HB | CC | 5B278 | |
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...Quantised networks; Sparse networks; Compressed networks [2023.01] | HB | CC | 5B278 | |
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...Feedforward networks [2023.01] | HB | CC | 5B278 | |
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..Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons [7, 2006.01] | HB | CC | 5B278 | |
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... using electronic means [7, 2006.01, 2023.01] | HB | CC | 5B278 | |
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.... Analogue means [2023.01] | HB | CC | 5B278 | |
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... using optical means [7, 2006.01] | HB | CC | 5B278 | |
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..Learning methods [7, 2006.01, 2023.01] | HB | CC | 5B278 | |
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... modifying the architecture, e.g. adding, deleting or silencing nodes or connections [2023.01] | HB | CC | 5B278 | |
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... Backpropagation, e.g. using gradient descent [2023.01] | HB | CC | 5B278 | |
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... using evolutionary algorithms, e.g. genetic algorithms or genetic programming [2023.01] | HB | CC | 5B278 | |
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...Non-supervised learning, e.g. competitive learning [2023.01] | HB | CC | 5B278 | |
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...Weakly supervised learning, e.g. semisupervised or self-supervised learning [2023.01] | HB | CC | 5B278 | |
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...Supervised learning [2023.01] | HB | CC | 5B278 | |
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...Active learning [2023.01] | HB | CC | 5B278 | |
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...Reinforcement learning [2023.01] | HB | CC | 5B278 | |
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...Adversarial learning [2023.01] | HB | CC | 5B278 | |
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... Transfer learning [2023.01] | HB | CC | 5B278 | |
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...Distributed learning, e.g. federated learning [2023.01] | HB | CC | 5B278 | |
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...Hyperparameter optimisation; Meta-learning; Learning-to-learn [2023.01] | HB | CC | 5B278 | |
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.. Interfaces, programming languages or software development kits, e.g. for simulating neural networks [7, 2006.01] | HB | CC | 5B278 | |
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. using genetic models [7, 2006.01, 2023.01] | HB | CC | 5B278 | |
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.. DNA computing [2023.01] | HB | CC | 5B278 | |
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.. Evolutionary algorithms, e.g. genetic algorithms or genetic programming [2023.01] | HB | CC | 5B278 | |