Suchergebnisse - Fractional-order backpropagation learning algorithm

A-LugSeg: Automatic and explainability-guided multi-site lung detection in chest X-ray images von Peng, Tao, Gu, Yidong, Ye, Zhenyu, Cheng, Xiuxiu, Wang, Jing

“… •An improved machine learning model is proposed to express a mathematical model.•The explainability-guided mathematical model is used to denote lung contour …”
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Modeling and Control of Permanent Magnet Synchronous Motor Based Electric Vehicle von G., Rajesh, Sebasthirani, K.

“… ) controllers, leveraging Genetic Algorithm (GA) and Hybrid Reinforcement Genetic Algorithm-Recursive Backpropagation Learning (GA-RBL …”
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Mechanical Property Prediction of Wood Using a Backpropagation Neural Network Optimized by Adaptive Fractional-Order Particle Swarm Algorithm von Huang, Jiahui, Kuang, Zhufang

“… ) with adaptive fractional-order particle swarm optimization (AFPSO) and Liang–Kleeman (LK) information flow theory …”
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Fractional-order gradient descent learning of BP neural networks with Caputo derivative von Wang, Jian, Wen, Yanqing, Gou, Yida, Ye, Zhenyun, Chen, Hua

“… The monotonicity and weak (strong) convergence of the proposed approach are proved in detail. Two simulations have been implemented to illustrate the performance of presented fractional-order BP algorithm on three small datasets and one large dataset …”
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Convergence Analysis of Novel Fractional-Order Backpropagation Neural Networks With Regularization Terms von Ma, Mingjie, Yang, Jianhui

“… Fractional-order derivatives have the potential to improve the performance of backpropagation (BP) neural networks …”
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Physics-Informed Fractional-Order Recurrent Neural Network for Fast Battery Degradation with Vehicle Charging Snippets von Wang, Yanan, Wei, Min, Dai, Feng, Zou, Daijiang, Lu, Chen, Han, Xuebing, Chen, Yangquan, Ji, Changwei

“… In this paper, we propose a physics-informed recurrent neural network (PIRNN) with a fractional-order gradient for fast …”
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Physics-Informed Recurrent Neural Network With Fractional-Order Gradients for State-of-Charge Estimation of Lithium-Ion Battery von Wang, Yanan, Han, Xuebing, Guo, Dongxu, Lu, Languang, Chen, Yangquan, Ouyang, Minggao

“… This paper introduces fractional-order gradients for RNN to improve its backpropagation process, so that network updates weights instructed by the fractional-order characteristics of LIB …”
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Fractional-order gradient approach for optimizing neural networks: A theoretical and empirical analysis von Harjule, Priyanka, Sharma, Rinki, Kumar, Rajesh

“… This article proposes a modified fractional gradient descent algorithm to enhance the learning capabilities of neural networks, comprising the benefits of a metaheuristic optimizer …”
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Sensitivity of Fractional-Order Recurrent Neural Network with Encoded Physics-Informed Battery Knowledge von Wang, Yanan, Han, Xuebing, Lu, Languang, Chen, Yangquan, Ouyang, Minggao

“… For LIB state estimation, this work proposes a fractional-order recurrent neural network (FORNN …”
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Comparative study of integer-order and fractional-order artificial neural networks: Application for mathematical function generation von Joshi, Manisha Premkumar, Bhosale, Savita, Vyawahare, Vishwesh A.

“… : Perceptron employs a fractional derivative of the activation function and the steepest gradient-based learning algorithm …”
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Improved fractional-order gradient descent method based on multilayer perceptron von Zhou, Xiaojun, Zhao, Chunna, Huang, Yaqun, Zhou, Chengli, Ye, Junjie

“… Moreover, the implementation of FOGD in the hidden layers serves as a necessary foundation for establishing a family of fractional-order deep learning optimizers, facilitating the widespread …”
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Numerical Simulation and Computational Methods in Engineering and Sciences

“… This Special Issue compiles cutting-edge research on mathematical simulation and computational techniques, emphasizing innovative algorithms and their cross-field applications …”
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Fractional Order Backpropagation Neural Network for Battery Capacity Estimation with Realistic Vehicle Data von Wang, Yanan, Han, Xuebing, Dai, Feng, Li, Jie, Zou, Daijiang, Lu, Languang, Chen, Yangquan, Ouyang, Minggao

“… On the basis of fractional-order calculus, this paper proposes a fractional-order backpropagation neural network (BPNN …”
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Accurate prediction of protein–ATP binding sites based on a protein pretrained large language model and a fractional-order convolutional neural network von Guo, Mengyao, Tu, Yuhang, Yu, Jiali, Wang, Yishu

“… However, current research methods face numerous challenges, such as the need for various algorithms to extract multilevel features and then integrate them into one deep learning model …”
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Estimation of chlorophyll content of Cinnamomum camphora leaves based on hyperspectral and fractional order differentiation von Yang, Baocheng, Zhang, Haina, Lu, Xianghui, Zhang, Yue, Wan, Haolong, Luo, Xin, Zhang, Jie

“… Hyperspectral remote sensing combined with data preprocessing techniques and machine learning algorithms is a new way to efficiently estimate plant SPAD …”
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Fractional-order differential evolution for training dendritic neuron model von Su, Kunqi, Jin, Ting, Gao, Jinrui

“… and the differential evolution algorithm to train DNM, referred to as fractional-order differential evolution (FODE) algorithm …”
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Design of an Online Adaptive Fractional‐Order Proportional‐Integral‐Derivative Controller to Reduce the Seismic Response of the 20‐Story Benchmark Building Equipped with an Active Control System von Jafarzadeh, Ommegolsoum, Mousavi Ghasemi, Seyyed Arash, Zahrai, Seyed Mehdi, Sabetahd, Rasoul, Mohammadzadeh, Ardashir, Vafaei Poursorkhabi, Ramin

“… Utilizing the backpropagation algorithm in training a multilayer perceptron neural network is deemed effective in identifying the structural system and estimating the plant …”
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Inversion of Water Quality Parameters from UAV Hyperspectral Data Based on Intelligent Algorithm Optimized Backpropagation Neural Networks of a Small Rural River von Wang, Manqi, Zhou, Caili, Shi, Jiaqi, Lin, Fei, Li, Yucheng, Hu, Yimin, Zhang, Xuesheng

“… Firstly, the spectral data were preprocessed using fractional order derivation (FOD), standard normal variate (SNV …”
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Design of stochastic backpropagative autoregressive exogenous neuroarchitectures for predictive analysis of fractional-order nonlinear Rabinovich–Fabrikant chaotic attractors von Hassan, Shahzaib Ahmed, Raja, Muhammad Junaid Ali Asif, Sherazi, Syed Zoraiz Ali, Chang, Chuan-Yu, Shu, Chi-Min, Kiani, Adiqa Kausar, Khan, Zeshan Aslam, Shoaib, Muhammad, Raja, Muhammad Asif Zahoor

“… sensitive dependence on initial conditions within multifaceted physical contexts. In this paper, we present a fractional-order Rabinovich–Fabrikant (FO–RF …”
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Physics-Informed Recurrent Neural Networks with Fractional-Order Constraints for the State Estimation of Lithium-Ion Batteries von Wang, Yanan, Han, Xuebing, Guo, Dongxu, Lu, Languang, Chen, Yangquan, Ouyang, Minggao

“… Rather than using complex partial differential equations and the complicated parameter tuning of a model-based method, a machine learning algorithm provides a new paradigm and has been …”
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