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Architectural Bias in Recurrent Neural Networks: Fractal Analysis
Peter Tino
, B Hammer
Computer Science
Research output
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Contribution to journal
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Article
21
Citations (Scopus)
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Dive into the research topics of 'Architectural Bias in Recurrent Neural Networks: Fractal Analysis'. Together they form a unique fingerprint.
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Keyphrases
Fractal Analysis
100%
Recurrent Neural Network
100%
Activation Function
12%
Markov Model
12%
Neural Network
12%
Scale Factor
12%
Predictive Models
12%
Fractal Dimension
12%
Fractal Cluster
12%
Activation Patterns
12%
Drive Sources
12%
Finite Memory
12%
Memory Machine
12%
Hammer
12%
Box-counting Dimension
12%
Neural Network Dynamics
12%
Small Weight
12%
Regular Grammar
12%
Networked Learning
12%
State Transition Diagram
12%
Markovian
12%
Network Parameters
12%
Finite State Transducer
12%
Hausdorff Dimension
12%
Finite State Transition
12%
Scaled Entropy
12%
Mathematics
Fractal Analysis
100%
Neural Network
100%
Fractal
12%
Lower and upper bounds
12%
Predictive Model
12%
Scaling Factor
12%
Network Dynamic
12%
State Transition Diagram
12%
Box-Counting Dimension
12%
Hausdorff Dimension
12%
Fractal Dimension
12%
Regular Grammar
12%
Computer Science
Recurrent Neural Network
100%
State Transition Diagram
12%
Regular Grammar
12%
Scaling Factor
12%
Activation Function
12%
Network Dynamic
12%
Fractal Dimension
12%
Activation Pattern
12%
Predictive Model
12%
Network Parameter
12%
Neuroscience
Recurrent Neural Network
100%
Markov Models
12%
Economics, Econometrics and Finance
Markov Model
100%