Local Feedback Multilayered Networks

No abstract is available for this paper.

• Publication year

  1992

• Venue

  Neural Computation

• Publication date

  1992-01-03

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1162/neco.1992.4.1.120
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Spatiotemporal pattern processing in a compartmental-model neuron.

  1993cited by this paper
• The problem of learning long-term dependencies in recurrent networks

  1993cited by this paper
• Temporal sequence learning with neural networks for process fault detection

  1993cited by this paper
• Learning the dynamic nature of speech with back-propagation for sequences

  1992cited by this paper
• Finding Structure in Time

  1990cited by this paper
• Links Between Markov Models and Multilayer Perceptrons

  1990cited by this paper
• Finite State Automata and Simple Recurrent Networks

  1989influential reference
• Learning State Space Trajectories in Recurrent Neural Networks

  1989cited by this paper
• A learning algorithm for analog, fully recurrent neural networks

  1989cited by this paper
• A Learning Algorithm for Continually Running Fully Recurrent Neural Networks

  1989cited by this paper
• A Focused Backpropagation Algorithm for Temporal Pattern Recognition

  1989cited by this paper
• BPS: a learning algorithm for capturing the dynamic nature of speech

  1989influential reference
• Complete gradient optimization of a recurrent network applied to /b/,/d/,/g/ discrimination

  1988cited by this paper
• Generalization of back-propagation to recurrent neural networks.

  1987cited by this paper

• A GPS Distance Error Forecast Model Based on IIR Filter Denoising and LSTM

  2023cites this paper
• On The Expressivity of Recurrent Neural Cascades

  2023cites this paper
• A systematic review of data-driven approaches to fault diagnosis and early warning

  2022cites this paper
• Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling

  2021cites this paper
• Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling

  2020cites this paper
• Pattern recognition in software engineering trend adapting

  2020cites this paper
• Temporally local recurrent radial basis function network for modeling and adaptive control of nonlinear systems.

  2019cites this paper
• Αναπαράσταση ασαφών συστημάτων Takagi-Sugeno-Kang υψηλής τάξης και αποσύνθεση σε συστήματα πρώτης τάξης. Εφαρμογή σε φίλτρο διαχωρισμού πνευμονικών ήχων

  2018cites this paper
• Learning and Reasoning With Constraints

  2018cites this paper
• Deep learning: Evolution and expansion

  2018cites this paper
• A survey of neural network accelerators

  2017cites this paper
• Integrated built-in-test false and missed alarms reduction based on forward infinite impulse response & recurrent finite impulse response dynamic neural networks

  2017cites this paper
• Dynamic and recursive oil-reservoir proxy using Elman neural networks

  2016cites this paper
• Decision making with long delays using networks of flip-flop neurons

  2016cites this paper
• Communicating Artificial Neural Networks with Physical-Based Flow Model for Complex Coastal Systems

  2016cites this paper
• Methodology of neural modelling in fault detection with the use of chaos engineering

  2015cites this paper
• Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) using Complex Quantum Neuron (CQN): Applications to time series prediction

  2015cites this paper
• A comparative study of neuro fuzzy and recurrent neuro fuzzy model-based controllers for real-time industrial processes

  2015cites this paper
• Electricity price forecasting: A review of the state-of-the-art with a look into the future

  2014cites this paper
• A hybrid intelligent system: genetic algorithm and rough set incorporated neural fuzzy inference network

  2014cites this paper
• A look into the future of electricity (spot) price forecasting

  2014cites this paper
• Nonlinear systems identification and control based on fuzzy-neural multi-model

  2013cites this paper
• A Recurrent Neural Network-based Forecasting System for Telecommunications Call Volume

  2013cites this paper
• Recurrent neural networks

  2013cites this paper
• An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection

  2013cites this paper
• A context layered locally recurrent neural network for dynamic system identification

  2013cites this paper
• Error Surface of Recurrent Neural Networks

  2013cites this paper
• An Investigation into the Adaptive Capacity of Recurrent Neural Networks

  2013cites this paper
• A Hierarchical Fuzzy-Neural Multi-Model Applied in Nonlinear Systems Identification and Control

  2013cites this paper
• Autonomous and adaptive procedure for cumulative failure prediction

  2012cites this paper
• Neural networks for modelling and fault detection of the inter-stand strip tension of a cold tandem mill

  2012cites this paper
• RECURRENT NEURO FUZZY AND FUZZY NEURAL HYBRID NETWORKS: A REVIEW

  2012cites this paper
• 2 Advanced Methods for Time Series Prediction Using Recurrent Neural Networks

  2012cites this paper
• Automated Trading with Genetic-Algorithm Neural-Network Risk Cybernetics: An Application on FX Markets

  2012cites this paper
• Solving Partially Observable Reinforcement Learning Problems with Recurrent Neural Networks

  2012cites this paper
• Nonlinear Process Modelling and Control Using Neurofuzzy Networks

  2012cites this paper
• Recurrent Neural State Estimation in Domains with Long-Term Dependencies

  2012cites this paper
• Local recurrent sigmoidal-wavelet neurons in feed-forward neural network for forecasting of dynamic systems: Theory

  2012cites this paper
• Lyapunov Stability Analysis of Gradient Descent-Learning Algorithm in Network Training

  2011cites this paper
• Advanced Methods for Time Series Prediction Using Recurrent Neural Networks

  2011cites this paper
• Locally Recurrent Neural Networks and Their Applications

  2010cites this paper
• Local stability conditions for discrete-time cascade locally recurrent neural networks

  2010cites this paper
• Improving the prediction accuracy of Recurrent neural network by a PID controller

  2010cites this paper
• Towards Accurate and Reproducible Predictions for Prognostic: an Approach Combining a RRBF Network and an AutoRegressive Model

  2010cites this paper
• Adaptive Filter Design Using Recurrent Cerebellar Model Articulation Controller

  2010cites this paper
• Defining and applying prediction performance metrics on a recurrent NARX time series model

  2010cites this paper
• Design of a Dynamic Neural Network with Kalman Filter for the Identification of Nonlinear Systems. Application: prediction of the maximum power generated by a Photovoltaic module

  2010cites this paper
• Multi-step ahead forecasts for electricity prices using NARX: A new approach, a critical analysis of one-step ahead forecasts

  2009cites this paper
• Neural network based temporal feature models for short-term railway passenger demand forecasting

  2009cites this paper
• Radial Basis Function Nets for Time Series Prediction

  2009cites this paper
• Combining a recurrent neural network and a PID controller for prognostic purpose: a way to improve the accuracy of predictions

  2009cites this paper
• Validation of Infinite Impulse Response Multilayer Perceptron for Modelling Nuclear Dynamics

  2008cites this paper
• Ensemble Learning for Time Series Prediction

  2008cites this paper
• A generalized Takagi–Sugeno–Kang recurrent fuzzy-neural filter for adaptive noise cancelation

  2008influential citation
• Confidence estimation of GMDH neural networks and its application in fault detection systems

  2008cites this paper
• A fuzzy-neural multi-model for nonlinear systems identification and control

  2008cites this paper
• A Block-Diagonal Dynamic Fuzzy Filter for Adaptive Noise Cancellation

  2008cites this paper
• Long‐lead seasonal rainfall forecasting using time‐delay recurrent neural networks: a case study

  2008cites this paper
• Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

  2008cites this paper
• Testing Forecast Accuracy of Foreign Exchange Rates: Predictions from Feed Forward and Various Recurrent Neural Network Architectures

  2008cites this paper
• Group-Linking Method: A Unified Benchmark for Machine Learning with Recurrent Neural Network

  2007cites this paper
• An adaptive recurrent fuzzy system for nonlinear identification

  2007cites this paper
• Neural net architectures for temporal sequence processing

  2007influential citation
• Locally recurrent neural networks for wind speed prediction using spatial correlation

  2007cites this paper
• Identification of pre-sliding and sliding friction dynamics: Grey box and black-box models

  2007cites this paper
• A dynamic fuzzy neural filter for separation of discontinuous adventitious sounds from vesicular sounds

  2007cites this paper
• Recurrent Sigmoid-Wavelet Neurons for Forecasting of Dynamic Systems

  2007cites this paper
• A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation

  2007cites this paper
• Adaptive Neural Networks for Flood Routing in River Systems

  2007cites this paper
• Generalised NARX shunting neural network modelling of friction

  2007cites this paper
• Knowledge Management and Data Mining: In Demand Estimation Approach for Perfect Revenue Management

  2007cites this paper
• Learning Long-Term Dependencies with

  2007cites this paper
• Latent Attractors: A General Paradigm for Context-Dependent Neural Computation

  2007cites this paper
• Optimising the Hystereses of a Two Context Layer RNN for Text Classification

  2007cites this paper
• Robust Text Classification Using a Hysteresis-Driven Extended SRN

  2007cites this paper
• Multifeedback-Layer Neural Network

  2007cites this paper
• A Fuzzy-Neural Hierarchical Multi-model for Systems Identification and Direct Adaptive Control

  2007influential citation
• A Sliding Mode Control Using Fuzzy-Neural Hierarchical Multi-model Identifier

  2007cites this paper
• Model-Based Fault Detection and Isolation Using Locally Recurrent Neural Networks

  2006cites this paper
• Contribution à la Surveillance des Systèmes de Production en Utilisant l'Intelligence Artificielle

  2006influential citation
• Long-term wind speed and power forecasting using local recurrent neural network models

  2006cites this paper
• A recurrent fuzzy filter for the analysis of lung sounds

  2006cites this paper
• A Recurrent Neural Filter for Adaptive Noise Cancellation

  2006cites this paper
• An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor

  2006cites this paper
• Backpropagation for Population-Temporal Coded Spiking Neural Networks

  2006influential citation
• Locally recurrent neural networks for long-term wind speed and power prediction

  2006cites this paper
• Implementación de un Multimodelo Neuronal Jerárquico para Identificación y Control de Sistemas Mecánicos

  2005cites this paper
• A constrained optimization algorithm for training locally recurrent globally feedforward neural networks

  2005influential citation
• Development of Advanced Verification and Validation Procedures and Tools for the Certification of Learning Systems in Aerospace Applications

  2005cites this paper
• A Recurrent Fuzzy Filter for Adaptive Noise Cancellation

  2005cites this paper
• A HIERARCHICAL FUZZY-NEURAL MULTI-MODEL - An application for a mechanical system with friccion identification and control

  2005cites this paper
• Identification of chaotic systems using a self-constructing recurrent neural network

  2005cites this paper
• Artificial Neural Networks in Fault Diagnosis

  2004cites this paper
• Forecasting Foreign Exchange Rates With Artificial Neural Networks: A Review

  2004cites this paper
• Evolución de controladores difusos recurrentes basados en diagramas de voronoi

  2004cites this paper
• A novel recurrent neural network with minimal representation for dynamic system identification

  2004cites this paper
• Using latent attractors to discern temporal order

  2004cites this paper
• Audio signal processing by neural networks

  2003influential citation
• An orthogonal least-squares method for recurrent fuzzy-neural modeling

  2003cites this paper
• Network capacity analysis for latent attractor computation

  2003cites this paper