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Novel Back Propagation Optimization by Cuckoo Search Algorithm
Published 2014-01-01“…The traditional Back Propagation (BP) has some significant disadvantages, such as training too slowly, easiness to fall into local minima, and sensitivity of the initial weights and bias. …”
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Stability of Back Propagation Training Algorithm for Neural Networks
Published 2012-12-01“…In this paper, we derive and prove the stability bounds of the momentum coefficient µ and the learning rate ? of the back propagation updating rule in Artificial Neural Networks .The theoretical upper bound of learning rate ? …”
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Defect detection in textiles using back propagation neural classifier
Published 2023-09-01“…In the second phase a neural classifier was trained with back-propagation neural Network (BPNN) algorithm on the training dataset. …”
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Human action recognition based on back propagation neural network
Published 2017-09-01Subjects: Get full text
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Study on Fault Arc Recognition Based on Back-Propagation Neural Network
Published 2020-09-01Subjects: “…back-propagation neural network…”
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A Back Propagation Neural Network-Based Method for Intelligent Decision-Making
Published 2021-01-01“…This paper proposes a replenishment decision model with back propagation neural network multivariate regression analysis methods. …”
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Dendritic excitations govern back-propagation via a spike-rate accelerometer
Published 2025-02-01“…Our data show history-dependent spike back-propagation in distal dendrites, driven by locally generated Na+ spikes (dSpikes). …”
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Design a PID Controller for Suspension System by Back Propagation Neural Network
Published 2013-01-01“…The suspension system, designed as a quarter model, is used to simplify the problem to one-dimensional spring-damper system. In this paper, back propagation neural network (BPN) has been used for determining the gain parameters of a PID controller for suspension system of automotive. …”
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Back Propagation Artificial Neural Network Enhanced Accuracy of Multi-Mode Sensors
Published 2025-02-01“…We innovatively integrate back-propagation artificial neural networks (BP ANNs) to comprehensively process the three collected signal data sets, which successfully solves the problem of sensor failure caused by the large deviation of signal detection results, and greatly improves the prediction accuracy, detection range, and anti-interference of the sensor. …”
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Concrete crack opening forecasting by back propagation neural network and differential equation
Published 2025-07-01Subjects: Get full text
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Application of the intelligent back propagation neural network in the optimization of sports industry structure
Published 2025-04-01“…Abstract To explore the application potential of the intelligent Back Propagation Neural Network (BPNN) in the optimization of sports industry structure, a new intelligent BPNN model is constructed in this study. …”
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The analysis of rural revitalization serviceplatform in smart city under back propagation neural network.
Published 2025-01-01“…To achieve rural revitalization and enhance the development of rural tourism, this study employs a back propagation neural network (BPNN) to construct a rural revitalization development model. …”
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Local Back-Propagation for Forward-Forward Networks: Independent Unsupervised Layer-Wise Training
Published 2025-07-01Subjects: “…back-propagation…”
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Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness
Published 2025-01-01“…Based on the aforementioned findings, PLS, Multiple Linear Regression (MLR), Heterogeneous Transfer Learning (HTL), and Back Propagation Neural Network (BPNN) models were constructed for cross-validation purposes. …”
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ALGORITMA BACK PROPAGATION NEURAL NETWORK UNTUK PENGENALAN POLA KARAKTER HURUF JAWA
Published 2010-12-01“…Back Propagation Neural Network (BPNN) is a type of algorithm in Neural Network that can be use for Javanese alphabets character recognition. …”
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Bioimpedance assessment method based on back propagation neural network for irreversible electroporation of liver tissue
Published 2025-05-01“…This study demonstrate that the back propagation (BP) neural network can predict the steady-state impedance values after ablation within a short time and assess the degree of ablation based on the changes in impedance.…”
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Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids
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Back-propagation-assisted inverse design of structured light fields for given profiles of optical force
Published 2023-05-01Subjects: “…back-propagation algorithm…”
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