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Towards the evolution of multi-layered neural networks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bfb0055930openalex-snapshot

Grammatical evolution: Evolving programs for an arbitrary language

inferredcites →https://doi.org/10.1007/s10710-015-9262-4openalex-snapshot

Unveiling the properties of structured grammatical evolution

inferredcites →https://doi.org/10.1016/0167-8191(90)90086-oopenalex-snapshot

Genetic algorithms and neural networks: optimizing connections and connectivity

inferredcites →https://doi.org/10.1016/0893-6080(88)90023-8openalex-snapshot

Analysis of hidden units in a layered network trained to classify sonar targets

inferredcites →https://doi.org/10.1016/j.engappai.2014.11.003openalex-snapshot

Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm

inferredcites →https://doi.org/10.1016/j.neucom.2006.05.023openalex-snapshot

Evolution of neural networks for classification and regression

inferredcites →https://doi.org/10.1016/j.neucom.2008.01.017openalex-snapshot

Neural network construction and training using grammatical evolution

inferredcites →https://doi.org/10.1109/cec.2017.7969488openalex-snapshot

Automatic generation of neural networks with structured Grammatical Evolution

inferredcites →https://doi.org/10.1109/cogann.1992.273948openalex-snapshot

Genetic synthesis of Boolean neural networks with a cell rewriting developmental process

inferredcites →https://doi.org/10.1109/fskd.2016.7603153openalex-snapshot

Evolving deep neural networks: A new prospect

inferredcites →https://doi.org/10.1109/icstcc.2013.6688961openalex-snapshot

Evolutionary optimization-based training of convolutional neural networks for OCR applications

inferredcites →https://doi.org/10.1109/iraniancee.2013.6599788openalex-snapshot

Artificial neural networks generation using grammatical evolution

inferredcites →https://doi.org/10.1109/tevc.2006.872346openalex-snapshot

Evolutionary Design of Neural Network Architectures Using a Descriptive Encoding Language

inferredcites →https://doi.org/10.1145/2598394.2602287openalex-snapshot

Genetic algorithms for evolving deep neural networks

inferredcites →https://doi.org/10.1162/106365602320169811openalex-snapshot

Evolving Neural Networks through Augmenting Topologies

inferredcites →https://doi.org/10.1186/1471-2105-8-3openalex-snapshot

FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data

inferredcites →https://doi.org/10.5555/1390681.1390712openalex-snapshot

Accelerated Neural Evolution through Cooperatively Coevolved Synapses

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1007/978-3-030-16841-4_3openalex-snapshot

Size/Accuracy Trade-Off in Convolutional Neural Networks: An Evolutionary Approach

inferred← citeshttps://doi.org/10.1007/978-3-030-72812-0_7openalex-snapshot

Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems

inferred← citeshttps://doi.org/10.1007/978-3-031-42529-5_21openalex-snapshot

Neuroevolutionary Transfer Learning for Time Series Forecasting

inferred← citeshttps://doi.org/10.1007/978-3-319-77553-1_1openalex-snapshot

Using GP Is NEAT: Evolving Compositional Pattern Production Functions

inferred← citeshttps://doi.org/10.1007/978-3-319-77553-1_2openalex-snapshot

Evolving the Topology of Large Scale Deep Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-319-78717-6_6openalex-snapshot

Structured Grammatical Evolution: A Dynamic Approach

inferred← citeshttps://doi.org/10.1007/978-981-15-1925-3_23openalex-snapshot

Dynamic Facial Feature Learning by Deep Evolutionary Neural Networks

inferred← citeshttps://doi.org/10.1007/978-981-99-9531-8_27openalex-snapshot

Symbolic Regression Using Dynamic Structured Grammatical Evolution with Digit Concatenation and Linear Scaling

inferred← citeshttps://doi.org/10.1007/s10462-021-10049-5openalex-snapshot

Evolutionary design of neural network architectures: a review of three decades of research

inferred← citeshttps://doi.org/10.1007/s10710-018-9339-yopenalex-snapshot

DENSER: deep evolutionary network structured representation

inferred← citeshttps://doi.org/10.1007/s10710-022-09432-0openalex-snapshot

A grammar-based GP approach applied to the design of deep neural networks

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Two-stage coevolution method for deep CNN: A case study in smart manufacturing

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Grammatical Evolution for automatic design of actuated traffic signal control plans

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Forecasting livestock activity through interpretable neuroevolutionary transfer learning

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Automatic Design of Artificial Neural Networks for Gamma-Ray Detection

inferred← citeshttps://doi.org/10.1109/cec48606.2020.9185760openalex-snapshot

A Symmetric grammar approach for designing segmentation models

inferred← citeshttps://doi.org/10.1145/3297280.3297408openalex-snapshot

Evolving MIMO multi-layered artificial neural networks using grammatical evolution

inferred← citeshttps://doi.org/10.1145/3512290.3528703openalex-snapshot

Surrogate-assisted neuroevolution

inferred← citeshttps://doi.org/10.1145/3520304.3534072openalex-snapshot

Modular grammatical evolution for the generation of artificial neural networks

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