On the public citation graph

Training Multilayer Neural Network Based on Optimal Control Theory for Limited Computational Resources

https://doi.org/10.3390/math11030778
0 signed · 53 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00521-012-1156-2openalex-snapshot
Optimal control problem via neural networks
inferredcites →https://doi.org/10.1007/s10107-007-0170-0openalex-snapshot
A coordinate gradient descent method for nonsmooth separable minimization
inferredcites →https://doi.org/10.1007/s10472-008-9097-2openalex-snapshot
Convergence analysis of convex incremental neural networks
inferredcites →https://doi.org/10.1007/s10472-020-09702-6openalex-snapshot
Derivation and analysis of parallel-in-time neural ordinary differential equations
inferredcites →https://doi.org/10.1007/s10883-016-9358-zopenalex-snapshot
Constrained Optimal Control for a Class of Semilinear Infinite Dimensional Systems
inferredcites →https://doi.org/10.1007/s10883-019-09467-0openalex-snapshot
Jacobi Fields in Optimal Control: One-dimensional Variations
inferredcites →https://doi.org/10.1007/s11071-012-0512-1openalex-snapshot
Design of a fast convergent backpropagation algorithm based on optimal control theory
inferredcites →https://doi.org/10.1007/s11071-017-3616-9openalex-snapshot
Nonlinear fractional optimal control problems with neural network and dynamic optimization schemes
inferredcites →https://doi.org/10.1007/s11760-018-1335-4openalex-snapshot
Vehicle logo recognition using whitening transformation and deep learning
inferredcites →https://doi.org/10.1016/j.amc.2007.05.005openalex-snapshot
A new model selection strategy in artificial neural networks
inferredcites →https://doi.org/10.1016/j.asoc.2013.02.011openalex-snapshot
Variable-Order Ant System for VLSI multiobjective floorplanning
inferredcites →https://doi.org/10.1016/j.engappai.2012.04.007openalex-snapshot
Hierarchical congregated ant system for bottom-up VLSI placements
inferredcites →https://doi.org/10.1016/j.eswa.2017.07.034openalex-snapshot
Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm
inferredcites →https://doi.org/10.1016/j.heliyon.2018.e00938openalex-snapshot
State-of-the-art in artificial neural network applications: A survey
inferredcites →https://doi.org/10.1023/a:1018997115206openalex-snapshot
Multilayer neural networks and polyhedral dichotomies
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1080/02564602.2014.906895openalex-snapshot
Power Amplifier Design Methodologies for Next Generation Wireless Communications
inferredcites →https://doi.org/10.1088/2632-2153/ab81e2openalex-snapshot
Adaptive learning rate clipping stabilizes learning
inferredcites →https://doi.org/10.1108/13565360510610486openalex-snapshot
Thermal management of multi‐chip module and printed circuit board using FEM and genetic algorithms
inferredcites →https://doi.org/10.1109/access.2022.3213081openalex-snapshot
Day-Ahead Electricity Price Forecasting Based on Hybrid Regression Model
inferredcites →https://doi.org/10.1109/tcad.2018.2834436openalex-snapshot
Adjusting Learning Rate of Memristor-Based Multilayer Neural Networks via Fuzzy Method
inferredcites →https://doi.org/10.1109/tnnls.2018.2827778openalex-snapshot
A New Correntropy-Based Conjugate Gradient Backpropagation Algorithm for Improving Training in Neural Networks
inferredcites →https://doi.org/10.1109/tvt.2020.3000306openalex-snapshot
Semisupervised PCA Convolutional Network for Vehicle Type Classification
inferredcites →https://doi.org/10.1142/s0129065719500151openalex-snapshot
Lyapunov Theory-Based Fusion Neural Networks for the Identification of Dynamic Nonlinear Systems
inferredcites →https://doi.org/10.1186/s12711-015-0097-5openalex-snapshot
Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle
inferredcites →https://doi.org/10.1371/journal.pone.0172539openalex-snapshot
Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization
inferredcites →https://doi.org/10.3233/ifs-141376openalex-snapshot
Nonlinear discrete time optimal control based on Fuzzy Models
inferredcites →https://doi.org/10.3390/math10030358openalex-snapshot
Novel Adaptive Bayesian Regularization Networks for Peristaltic Motion of a Third-Grade Fluid in a Planar Channel
inferredcites →https://doi.org/10.3390/math10193487openalex-snapshot
A New Neural Network Training Algorithm Based on Artificial Bee Colony Algorithm for Nonlinear System Identification
inferredcites →https://doi.org/10.3390/math10244730openalex-snapshot
Perceptron: Learning, Generalization, Model Selection, Fault Tolerance, and Role in the Deep Learning Era
inferredcites →https://doi.org/10.3390/math9222958openalex-snapshot
Modeling and Forecasting Cases of RSV Using Artificial Neural Networks
inferredcites →https://doi.org/10.4103/1463-1741.50694openalex-snapshot
Noise characteristics of grass-trimming machine engines and their effect on operators
inferredcites →https://doi.org/10.4316/aece.2021.04003openalex-snapshot
Intelligent Charging Control of Power Aggregator for Electric Vehicles Using Optimal Control
inferredcites →https://doi.org/10.48550/arxiv.1803.01299openalex-snapshot
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks

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.4649207openalex-extracted
Automated Positioning of Breast Feature Points for Parameter Extraction Based on 3d Point Cloud
inferred← citeshttps://doi.org/10.1007/978-3-031-78937-3_33openalex-snapshot
Privacy-Preserving Healthcare Data in IoMT
inferred← citeshttps://doi.org/10.1007/978-3-031-78937-3_46openalex-snapshot
A Dynamic Effective Class Balanced Approach for Semantic Segmentation of Imbalanced Medical Image Data
inferred← citeshttps://doi.org/10.1007/978-3-031-78940-3_43openalex-snapshot
A Comprehensive Study on Convolution Neural Networks - Architecture, Applications and Future Scope
inferred← citeshttps://doi.org/10.1007/978-3-031-78943-4_46openalex-snapshot
Metaheuristics and Hybrid Evolutionary Methods for Feature Selection
inferred← citeshttps://doi.org/10.1007/978-3-031-81080-0_36openalex-snapshot
CNN-Based Approach for Predicting Class Labels in Breast Cancer Classification
inferred← citeshttps://doi.org/10.1007/978-981-96-2124-8_34openalex-snapshot
Malicious URL Classification Using Temporal Convolutional Neural Network
inferred← citeshttps://doi.org/10.1007/978-981-96-3939-7_39openalex-snapshot
Assessment of Real-Time Object Identification Using Convolutional Neural Networks with YOLO V4
inferred← citeshttps://doi.org/10.1007/s10791-026-10166-1openalex-snapshot
Cigarette case quality prediction using BPNN optimized by PSO-ADAM combination algorithm
inferred← citeshttps://doi.org/10.1016/j.ergon.2025.103759openalex-snapshot
Automated positioning of breast feature points for parameter extraction based on 3D point cloud
inferred← citeshttps://doi.org/10.1016/j.jclepro.2025.146054openalex-snapshot
AI-driven predictive framework for CO2 sequestration and enhanced oil recovery: Insights from a depleted oil reservoir
inferred← citeshttps://doi.org/10.1016/j.rsurfi.2026.100823openalex-snapshot
Coupled surface-driven and nonlinear mixed convection of reactive MHD nanofluid transport over a gyrating cone with thermo-Brownian and electrothermal effects: Hybrid RKF-ANN-RSM framework
inferred← citeshttps://doi.org/10.1080/00207721.2025.2606017openalex-snapshot
Exploring optimal control solutions for delayed model of online game addiction using deep learning algorithms
inferred← citeshttps://doi.org/10.1109/icccmla63077.2024.10871692openalex-snapshot
Retinal Image-Based Deep Learning Neural Network Approaches for Glaucoma Detection: Analysis on Improved Accuracy and Processing Power
inferred← citeshttps://doi.org/10.1140/epjs/s11734-024-01247-7openalex-snapshot
Physics-informed Hermite neural networks for wetted porous fin under the local thermal non-equilibrium condition: application of clique polynomial method
inferred← citeshttps://doi.org/10.33103/uot.ijccce.24.2.8openalex-snapshot
Reducing Electric Vehicles Charging Costs Utilizing Optimal Control Method Based on Diverse Charging Patterns
inferred← citeshttps://doi.org/10.3390/math11102274openalex-snapshot
A Hybrid Algorithm Based on Social Engineering and Artificial Neural Network for Fault Warning Detection in Hydraulic Turbines
inferred← citeshttps://doi.org/10.3390/math12111740openalex-snapshot
INT-FUP: Intuitionistic Fuzzy Pooling
inferred← citeshttps://doi.org/10.4018/979-8-3693-1630-6.ch003openalex-snapshot
A Critical Analytical View of Control Theory and the Geopolitical and Economic Drivers Affecting Cyber Security Warfare
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.