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Everything about Recursive neural network
Type of neural network which utilizes recursion
A recursive neural network is a kind of deep neural network created by applying the same set of weights recursively over a structured input, to produce a structured prediction over variable-size input structures, or a scalar prediction on it, by traversing a given structure in topological order. These networks were first introduced to learn distributed representations of structure, but have been successful in multiple applications, for instance in learning sequence and tree structures in natural language processing. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Recursive neural networkA 5-minute orientation
- Skim a recent paper: Fault diagnosis of dual-network recursive interval type-2 fuzzy neural network based on SVD-TLS optimizationInfluential work since 2022
- Pick up a classic book: Computer scienceThe most-reprinted book on the subject
- Read the landmark paper: Drought forecasting using feed-forward recursive neural networkCited 305 times
- Go sideways: Molecule miningA closely related topic
- Go sideways: Recurrent neural networkA closely related topic
📖 Definitions
Noun A kind of deep neural network created by applying the same set of weights recursively over a structured input, to produce a structured prediction over variable-size input structures.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Drought forecasting using feed-forward recursive neural network
Recursive neural network model for analysis and forecast of PM10 and PM2.5
Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification
Daily runoff forecasting by deep recursive neural network
Recursive Neural Network Rule Extraction for Data With Mixed Attributes
Recursive Neural Network for Video Deblurring
Drug drug interaction extraction from the literature using a recursive neural network
Forecasting gold price changes: Rolling and recursive neural network models
🆕 Influential since 2022
Fault diagnosis of dual-network recursive interval type-2 fuzzy neural network based on SVD-TLS optimization
Attention gate guided multiscale recursive fusion strategy for deep neural network-based fault diagnosis
Recursive recurrent neural network: A novel model for manipulator control with different levels of physical constraints
Towards trustworthy image super-resolution via symmetrical and recursive artificial neural network
Deeply-recursive convolutional neural network for Raman spectra identification
📚 Books worth reading
Computer scienceJ. Glenn Brookshear, Brookshear · 1985
Neuro-fuzzy and soft computingJyh-Shing Roger Jang, Chuen-Tsai Sun · 1996
Adaptive processing of sequences and data structuresC. Lee Giles, Marco Gori · 1998
The (new) turing omnibusA.K. Dewdney · 1993
Exploring computer science with SchemeOliver Grillmeyer · 1998
Intelligent Computing for Sustainable Energy and EnvironmentKang Li · 2013
Recursive neural networks for associative memoryYves Kamp · 1990- 📕A parallel recursive prediction error algorithm for training layered neural networksS. Chen · 1989
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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