On the public citation graph
Global Convergence of Online BP Training With Dynamic Learning Rate
0 signed · 109 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11539087_96openalex-snapshot
Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs
inferredcites →https://doi.org/10.1007/978-3-540-74690-4_26openalex-snapshot
An Online Backpropagation Algorithm with Validation Error-Based Adaptive Learning Rate
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/10.1016/0925-2312(95)90026-8openalex-snapshot
Neural networks — A comprehensive foundation
inferredcites →https://doi.org/10.1016/c2013-0-02392-4openalex-snapshot
Introduction to Set Theory and Topology
inferredcites →https://doi.org/10.1016/j.cam.2003.08.062openalex-snapshot
Convergence of an online gradient method for feedforward neural networks with stochastic inputs
inferredcites →https://doi.org/10.1016/s0377-0427(01)00571-4openalex-snapshot
Deterministic convergence of an online gradient method for neural networks
inferredcites →https://doi.org/10.1016/s0893-9659(03)90086-3openalex-snapshot
Convergence of online gradient methods for continuous perceptrons with linearly separable training patterns
inferredcites →https://doi.org/10.1016/s0925-2312(00)00319-2openalex-snapshot
Enhancing the estimation of plant Jacobian for adaptive neural inverse control
inferredcites →https://doi.org/10.1016/s0925-2312(01)00612-9openalex-snapshot
N-bit parity neural networks: new solutions based on linear programming
inferredcites →https://doi.org/10.1023/a:1016249727555openalex-snapshot
Training Multilayer Perceptrons Via Minimization of Sum of Ridge Functions
inferredcites →https://doi.org/10.1080/01621459.1989.10478865openalex-snapshot
Some Asymptotic Results for Learning in Single Hidden-Layer Feedforward Network Models
inferredcites →https://doi.org/10.1080/10556789408805580openalex-snapshot
Analysis of an approximate gradient projection method with applications to the backpropagation algorithm
inferredcites →https://doi.org/10.1080/10556789408805581openalex-snapshot
Serial and parallel backpropagation convergence via nonmonotone perturbed minimization
inferredcites →https://doi.org/10.1080/10556789408805582openalex-snapshot
Convergence properties of backpropagation for neural nets via theory of stochastic gradient methods. Part 1
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1109/72.134285openalex-snapshot
Convergence of learning algorithms with constant learning rates
inferredcites →https://doi.org/10.1109/72.572117openalex-snapshot
Improving the error backpropagation algorithm with a modified error function
inferredcites →https://doi.org/10.1109/tnn.2005.844903openalex-snapshot
Deterministic Convergence of an Online Gradient Method for BP Neural Networks
inferredcites →https://doi.org/10.1109/tnn.2005.863460openalex-snapshot
Convergence of Gradient Method With Momentum for Two-Layer Feedforward Neural Networks
inferredcites →https://doi.org/10.1109/tnn.2009.2020848openalex-snapshot
Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks
inferredcites →https://doi.org/10.1109/tnn.2009.2025946openalex-snapshot
When Does Online BP Training Converge?
inferredcites →https://doi.org/10.1109/tnn.2010.2046179openalex-snapshot
Convergence and Objective Functions of Some Fault/Noise-Injection-Based Online Learning Algorithms for RBF Networks
inferredcites →https://doi.org/10.1109/tnn.2010.2050212openalex-snapshot
Mean-Square Convergence Analysis of ADALINE Training With Minimum Error Entropy Criterion
inferredcites →https://doi.org/10.1109/tnn.2011.2109737openalex-snapshot
Convergence Study in Extended Kalman Filter-Based Training of Recurrent Neural Networks
inferredcites →https://doi.org/10.1137/s1052623497331063openalex-snapshot
Gradient Convergence in Gradient methods with Errors
inferredcites →https://doi.org/10.1137/s1052623499362111openalex-snapshot
Incremental Subgradient Methods for Nondifferentiable Optimization
inferredcites →https://doi.org/10.1162/089976699300016647openalex-snapshot
Parameter Convergence and Learning Curves for Neural Networks
inferredcites →https://doi.org/10.1162/neco.1994.6.2.285openalex-snapshot
Diffusion Approximations for the Constant Learning Rate Backpropagation Algorithm and Resistance to Local Minima
inferredcites →https://doi.org/10.2307/2312236openalex-snapshot
Introduction to Set Theory and Topology.
inferredcites →https://doi.org/10.2307/2669885openalex-snapshot
Stochastic Approximation Algorithms and Applications
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition
inferredcites →https://doi.org/10.5860/choice.35-3355openalex-snapshot
Pattern recognition using neural networks: theory and algorithms for engineers and scientists
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4617585openalex-extracted
High-Precision Real-Time Flow Prediction in a Multi-Tributary River System: A Novel Bio-Inspired Neural Network Model
inferred← citeshttps://doi.org/10.1007/978-1-4471-5571-3_4openalex-snapshot
Multilayer Perceptrons: Architecture and Error Backpropagation
inferred← citeshttps://doi.org/10.1007/978-1-4471-7452-3_5openalex-snapshot
Multilayer Perceptrons: Architecture and Error Backpropagation
inferred← citeshttps://doi.org/10.1007/s00500-015-2003-zopenalex-snapshot
Exploring mutual information-based sentimental analysis with kernel-based extreme learning machine for stock prediction
inferred← citeshttps://doi.org/10.1007/s00521-015-2107-5openalex-snapshot
Diagonal recurrent neural networks for parameters identification of terrain based on wheel–soil interaction analysis
inferred← citeshttps://doi.org/10.1007/s00521-019-04196-8openalex-snapshot
A new growing pruning deep learning neural network algorithm (GP-DLNN)
inferred← citeshttps://doi.org/10.1007/s00521-019-04524-yopenalex-snapshot
Gait recognition using multichannel convolution neural networks
inferred← citeshttps://doi.org/10.1007/s11042-019-08509-wopenalex-snapshot
Gait feature extraction and gait classification using two-branch CNN
inferred← citeshttps://doi.org/10.1007/s11042-020-09777-7openalex-snapshot
Gait classification through CNN-based ensemble learning
inferred← citeshttps://doi.org/10.1007/s11356-021-17505-3openalex-snapshot
An effective dynamic immune optimization control for the wastewater treatment process
inferred← citeshttps://doi.org/10.1007/s41748-025-00594-2openalex-snapshot
High-Precision Real-Time Flow Prediction in a Multi-tributary River System: A Bio-inspired Dynamic Neural Network Model
inferred← citeshttps://doi.org/10.1016/j.asoc.2014.07.023openalex-snapshot
Neural network control of nonlinear dynamic systems using hybrid algorithm
inferred← citeshttps://doi.org/10.1016/j.ast.2019.01.033openalex-snapshot
A proposed self-organizing radial basis function network for aero-engine thrust estimation
inferred← citeshttps://doi.org/10.1016/j.ins.2012.07.006openalex-snapshot
An iterative adaptive dynamic programming algorithm for optimal control of unknown discrete-time nonlinear systems with constrained inputs
inferred← citeshttps://doi.org/10.1016/j.isatra.2018.11.027openalex-snapshot
Temporally local recurrent radial basis function network for modeling and adaptive control of nonlinear systems
inferred← citeshttps://doi.org/10.1016/j.isatra.2024.09.017openalex-snapshot
Task-space tracking for networked heterogeneous robotic systems via adaptive neural fixed-time control
inferred← citeshttps://doi.org/10.1016/j.neucom.2013.01.057openalex-snapshot
Hierarchical extreme learning machine for feedforward neural network
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.04.032openalex-snapshot
Common nature of learning between BP-type and Hopfield-type neural networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.10.008openalex-snapshot
Improved learning algorithm for two-layer neural networks for identification of nonlinear systems
inferred← citeshttps://doi.org/10.1016/j.neunet.2013.01.015openalex-snapshot
Efficient self-organizing multilayer neural network for nonlinear system modeling
inferred← citeshttps://doi.org/10.1016/j.neunet.2016.06.005openalex-snapshot
Boundedness and convergence analysis of weight elimination for cyclic training of neural networks
inferred← citeshttps://doi.org/10.1016/j.petsci.2023.04.016openalex-snapshot
A reliability-oriented genetic algorithm-levenberg marquardt model for leak risk assessment based on time-frequency features
inferred← citeshttps://doi.org/10.1016/j.rinp.2018.11.001openalex-snapshot
Lifetime prediction of a multi-chip high-power LED light source based on artificial neural networks
inferred← citeshttps://doi.org/10.1016/j.ymssp.2015.12.028openalex-snapshot
Locally supervised neural networks for approximating terramechanics models
inferred← citeshttps://doi.org/10.1016/j.ymssp.2024.111185openalex-snapshot
Fault-tolerant dynamic force/moment measuring platform for large spacecraft equipment using the GAALBP fusion algorithm
inferred← citeshttps://doi.org/10.1051/matecconf/202439900016openalex-snapshot
Fault diagnosis of power electronic circuits using optimized BP neural networks
inferred← citeshttps://doi.org/10.1080/03772063.2017.1353927openalex-snapshot
Low Noise Amplifier Synthesis Using Multidimensional MLP Neural Network
inferred← citeshttps://doi.org/10.1109/access.2016.2618350openalex-snapshot
Artificial Neural Network for Diffraction Based Overlay Measurement
inferred← citeshttps://doi.org/10.1109/access.2018.2883421openalex-snapshot
Mining Channel Water Depth Information From IoT-Based Big Automated Identification System Data for Safe Waterway Navigation
inferred← citeshttps://doi.org/10.1109/access.2019.2900071openalex-snapshot
A Biological Mechanism Based Structure Self-Adaptive Algorithm for Feedforward Neural Network and Its Engineering Applications
inferred← citeshttps://doi.org/10.1109/access.2020.3020429openalex-snapshot
Neural Network-Based Closed-Loop Deep Brain Stimulation for Modulation of Pathological Oscillation in Parkinson’s Disease
inferred← citeshttps://doi.org/10.1109/access.2021.3130578openalex-snapshot
MR-UNet Commodity Semantic Segmentation Based on Transfer Learning
inferred← citeshttps://doi.org/10.1109/cac51589.2020.9327740openalex-snapshot
Accelerated Levenberg–Marquardt Algorithm for Radial Basis Function Neural Network
inferred← citeshttps://doi.org/10.1109/chicc.2015.7260187openalex-snapshot
Speech-oriented negative emotion recognition
inferred← citeshttps://doi.org/10.1109/ciact.2017.7977335openalex-snapshot
Kohonen neural network model reference for nonlinear discrete time systems
inferred← citeshttps://doi.org/10.1109/ic2pct60090.2024.10486549openalex-snapshot
Deep Reinforcement Learning in Healthcare and Bio-Medical Applications
inferred← citeshttps://doi.org/10.1109/icc.2014.6883592openalex-snapshot
A model-matching algorithm based on improved BP over out-of-order streams
inferred← citeshttps://doi.org/10.1109/iccais.2018.8570573openalex-snapshot
Filtering-Based Layer-Wise Parameter Update Method for Training a Neural Network
inferred← citeshttps://doi.org/10.1109/icnc.2015.7378151openalex-snapshot
College graduates employment prediction based on Principal Component Analysis and the combined adaptive boosting and the back propagation neural network algorithm
inferred← citeshttps://doi.org/10.1109/icnisc54316.2021.00116openalex-snapshot
Multiple Regression and K-Nearest-Neighbor Based Algorithm for Estimating Missing Values within Sensor
inferred← citeshttps://doi.org/10.1109/icpsasia52756.2021.9621540openalex-snapshot
Load Forecasting Combining Chaos Theory and Long-Short Term Memory in Absence of Key Information
inferred← citeshttps://doi.org/10.1109/iecon.2014.7049081openalex-snapshot
An improved online learning algorithm and its applications on leak points prediction of gas pipe in petrochemical industries
inferred← citeshttps://doi.org/10.1109/iisa.2015.7388093openalex-snapshot
Integrated intelligent method for solving multi-objective MPM job shop scheduling problem
inferred← citeshttps://doi.org/10.1109/ijcnn.2014.6889651openalex-snapshot
Stock volatility prediction using multi-kernel learning based extreme learning machine
inferred← citeshttps://doi.org/10.1109/jas.2019.1911852openalex-snapshot
A self-organizing RBF neural network based on distance concentration immune algorithm
inferred← citeshttps://doi.org/10.1109/lsp.2025.3554511openalex-snapshot
Generating Image Counterfactuals in Deep Learning Models Without the Aid of Generative Models
inferred← citeshttps://doi.org/10.1109/oecc.2018.8729697openalex-snapshot
Machine Learning with Service Classification for Detecting Control Plane Intrusions in Software Defined Optical Networks
inferred← citeshttps://doi.org/10.1109/tcbb.2017.2649529openalex-snapshot
PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning
inferred← citeshttps://doi.org/10.1109/tfuzz.2021.3119108openalex-snapshot
Training Fuzzy Neural Network via Multiobjective Optimization for Nonlinear Systems Identification
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3317395openalex-snapshot
Marine Gravity Anomaly From Satellite Altimetry: Interpolation and Matching Navigation
inferred← citeshttps://doi.org/10.1109/tii.2016.2537788openalex-snapshot
Toward Distributed Data Processing on Intelligent Leak-Points Prediction in Petrochemical Industries
inferred← citeshttps://doi.org/10.1109/tnnls.2013.2238555openalex-snapshot
Common Nature of Learning Between Back-Propagation and Hopfield-Type Neural Networks for Generalized Matrix Inversion With Simplified Models
inferred← citeshttps://doi.org/10.1109/tnnls.2013.2246188openalex-snapshot
Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data
inferred← citeshttps://doi.org/10.1109/tnnls.2016.2616413openalex-snapshot
An Adaptive-PSO-Based Self-Organizing RBF Neural Network
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3325537openalex-snapshot
Regional Evaluation Study of VFTO Interference to Secondary Side Cables Based on Cloud Model and MARCOS
inferred← citeshttps://doi.org/10.1109/vlsi-dat.2018.8373241openalex-snapshot
A high learning capability probabilistic spiking neural network chip
inferred← citeshttps://doi.org/10.1109/wcsp.2017.8170989openalex-snapshot
Adaptive filtering based 3D massive MIMO sparse channel estimation
inferred← citeshttps://doi.org/10.1109/wsom.2017.8020002openalex-snapshot
An evolutionary building algorithm for Deep Neural Networks
inferred← citeshttps://doi.org/10.1142/s0129065719500278openalex-snapshot
Human Gait Recognition Based on Frame-by-Frame Gait Energy Images and Convolutional Long Short-Term Memory
inferred← citeshttps://doi.org/10.14257/ijca.2014.7.7.33openalex-snapshot
Soft-sensor for Mother Liquor Purity in The Industrial Cane Sugar Crystallization Based on Extreme Learning Machine and Particle Swarm Optimization
inferred← citeshttps://doi.org/10.14257/ijhit.2015.8.9.18openalex-snapshot
An Online Learning Model of Mobile User Preference Based on Context Quantification
inferred← citeshttps://doi.org/10.14311/nnw.2014.24.002openalex-snapshot
MULTI-OBJECTIVE OPTIMIZATION BY MEANS OF MULTI-DIMENSIONAL MLP NEURAL NETWORKS
inferred← citeshttps://doi.org/10.20964/2022.08.48openalex-snapshot
Research on state-of-charge Estimation of Lithium-ion Batteries Based on Improved Sparrow Search Algorithm-BP Neural Network
inferred← citeshttps://doi.org/10.2139/ssrn.6572373openalex-snapshot
Data-Driven Adaptive Neural Network Additional Damping Controller for SSCI Suppression of DFIG-based Wind Farms
inferred← citeshttps://doi.org/10.23919/chicc.2017.8027983openalex-snapshot
An ammonia nitrogen concentration online soft measure method based on the neural network
inferred← citeshttps://doi.org/10.23919/chicc.2017.8028080openalex-snapshot
A novel RBF neural network design based on immune algorithm system
inferred← citeshttps://doi.org/10.3390/app12031633openalex-snapshot
A Surrogate-Model-Based Approach for the Optimization of the Thermal Design Parameters of Space Telescopes
inferred← citeshttps://doi.org/10.3390/app122412543openalex-snapshot
Multi-Objective Antenna Design Based on BP Neural Network Surrogate Model Optimized by Improved Sparrow Search Algorithm
inferred← citeshttps://doi.org/10.3390/app9081526openalex-snapshot
Deep Learning in the Biomedical Applications: Recent and Future Status
inferred← citeshttps://doi.org/10.3390/app9132589openalex-snapshot
Fast Multi-Objective Antenna Optimization Based on RBF Neural Network Surrogate Model Optimized by Improved PSO Algorithm
inferred← citeshttps://doi.org/10.3390/en12060995openalex-snapshot
A Dynamic Adam Based Deep Neural Network for Fault Diagnosis of Oil-Immersed Power Transformers
inferred← citeshttps://doi.org/10.3390/math10244730openalex-snapshot
Perceptron: Learning, Generalization, Model Selection, Fault Tolerance, and Role in the Deep Learning Era
inferred← citeshttps://doi.org/10.3906/elk-1412-193openalex-snapshot
Speech recognition using ANN and predator-influenced civilized swarm optimization algorithm
inferred← citeshttps://doi.org/10.4018/978-1-7998-0414-7.ch083openalex-snapshot
Phased Method for Solving Multi-Objective MPM Job Shop Scheduling Problem
inferred← citeshttps://doi.org/10.4018/ijmstr.2016010104openalex-snapshot
Phased Method for Solving Multi-Objective MPM Job Shop Scheduling Problem
inferred← citeshttps://doi.org/10.5755/j01.eie.25.3.23671openalex-snapshot
Electric Energy Substitution Potential Prediction Based on Logistic Curve Fitting and Improved BP Neural Network Algorithm
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.