Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Link opens in a new tab
Search content at Princeton University
Home
Profiles
Research units
Facilities
Projects
Research output
Press/Media
Noninvertibility in neural networks
Ramiro Rico-Martínez
, Raymond A. Adomaitis
, Ioannis G. Kevrekidis
Chemical & Biological Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
27
Link opens in a new tab
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Noninvertibility in neural networks'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Additional Training
25%
Analytical Concepts
25%
Artificial Neural Network
25%
Artificial Neural Network Prediction
25%
Backward in Time
50%
Continuous Time Series
25%
Discrete-time Model
25%
Discrete-time Neural Networks
25%
Dynamical Behavior
25%
Identification Time
25%
Illustrative Examples
25%
Model Prediction
25%
Multiple Trajectories
25%
Neural Network
100%
Neural Network Mapping
25%
Neural Time Series
25%
Non-invertibility
100%
Nonlinear Ordinary Differential Equations
25%
Phenomenology
25%
System Identification
25%
Time Series Forecasting
25%
Time Series Model
25%
Time Series Processing
25%
Training Data
25%
Mathematics
Artificial Neural Network
66%
Discrete Time
66%
Illustrative Example
33%
Neural Network
100%
Ordinary Differential Equation
33%
Time Model
33%
Time Series
100%
Time Series Analysis
100%
Time Series Model
33%
Training Data
33%
Neuroscience
Artificial Neural Network
66%
Behavior (Neuroscience)
33%
Neural Network
100%
Phenomenology
33%
Time Series Model
33%
Social Sciences
Neural Network
100%
Operators (Mathematics)
20%
Phenomenology
20%
Time Series
80%
Psychology
Continuous Time
20%
Neural Network
100%
Phenomenology
20%