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References from Regional economic forecast using Elman neural networks with wavelet function. Local targets link to admitted publications; unresolved targets remain external evidence.
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series
10.1109/tsp.2020.3023008 · 2020 · External reference
Comparing Multiple Linear Regression, Deep Learning and Multiple Perceptron for Functional Points Estimation
10.1109/access.2022.3215987 · 2022 · External reference
Optimal Mathematical Modeling of Drug Therapy Based on Gray Correlation Analysis and Neural Network
2022 · External reference
Making bureaucracy work: Patronage networks, performance incentives, and economic development in China
10.1111/ajps.12394 · 2018 · External reference
A Novel Genetic Algorithm Based Dynamic Economic Dispatch With Short-Term Load Forecasting
10.1109/tia.2021.3065895 · 2021 · External reference
Mitigating the Impact of Photovoltaic Power Ramps on Intraday Economic Dispatch Using Reinforcement Forecasting
10.1109/tste.2023.3261444 · 2024 · External reference
10.1109/icris52159.2020.00176
10.1109/icris52159.2020.00176 · External reference
Prediction of financial economic growth trend based on PVAR model
2021 · External reference
Trend prediction method of economic fixed base index of power industry based on time series
2021 · External reference
Prediction Method of the Industrial Economic Operation Index Based on an Improved Genetic Algorithm
2021 · External reference
Flow-Based Encrypted Network Traffic Classification with Graph Neural Networks
10.1109/tnsm.2022.3227500 · 2023 · External reference
A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses
10.1109/tbcas.2023.3268502 · 2023 · External reference
Monitoring and diagnostic technologies using deep neural networks for predictive optical network maintenance
10.1364/jocn.424428 · 2021 · External reference
Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning
10.1038/s41592-019-0353-7 · 2019 · External reference
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
10.1109/tcsvt.2020.3013170 · 2021 · External reference
Nicolas Bohm Agostini. Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs
10.1109/tpds.2021.3067825 · 2021 · External reference
Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images
10.1109/tcbb.2018.2858763 · 2020 · External reference
Deep Manifold Learning for Dynamic MR Imaging
10.1109/tci.2021.3131564 · 2021 · External reference
Using deep learning to model the hierarchical structure and function of a cell
10.1038/nmeth.4627 · 2018 · External reference
Economic Forecast Model and Development Path Analysis Based on BP and RBF Neural Network
2023 · External reference
Finding structure in time
10.1207/s15516709cog1402_1 · 1990 · External reference
Construction of Network Security Perception System Using Elman Neural Network
2021 · External reference
Network Traffic Prediction Based on Improved GA-Elman Neural Network
2021 · External reference
A new IOIF Elman neural network for air quality prediction
2022 · External reference
Short- Term Power Prediction Method for Photovoltaic Power Generation Based on Elman Neural Network for Aspen Swarm Optimization
2023 · External reference
A Speed Prediction Method of Electric Propulsion Ship Based on GA-Elman Neural Network
2022 · External reference
Short-term Power Load Forecasting Model Based on CS-Elman Neural Network
2022 · External reference
Research on Marine Electric Load Forecast Based on PSO-Elman Neural Network
2021 · External reference
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure
10.1109/tbme.2021.3129459 · 2022 · External reference
Memory Recurrent Elman Neural Network-Based Identification of Time-Delayed Nonlinear Dynamical System
10.1109/tsmc.2022.3186610 · 2023 · External reference
10.26794/2587-5671-2019-23-5-126-130
10.26794/2587-5671-2019-23-5-126-130 · External reference