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421
Global Robust Exponential Stability Analysis for Interval Neural Networks with Mixed Delays
Published 2012-01-01“…A class of interval neural networks with time-varying delays and distributed delays is investigated. …”
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422
Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network
Published 2020-01-01“…However, the errors of the BP neural network model, the BP neural network improved by genetic algorithm, and the pluralistic return were larger. …”
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423
Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network
Published 2025-01-01Subjects: Get full text
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424
Construction of Gene Regulatory Networks Using Recurrent Neural Networks and Swarm Intelligence
Published 2016-01-01“…We have employed the Recurrent Neural Network formalism to extract the underlying dynamics present in the time series expression data accurately. …”
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425
Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network
Published 2020-01-01“…The results show that the GA-BP neural network is higher than the traditional BP neural network in terms of prediction accuracy and adaptability.…”
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426
Ultra-Short Wave Communication Squelch Algorithm Based on Deep Neural Network
Published 2023-03-01“…To alleviate the problem, we proposed a squelch algorithm for ultra-short wave communication based on a deep neural network and the traditional energy decision method. …”
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427
Stability Analysis of a Class of Neural Networks with State-Dependent State Delay
Published 2020-01-01“…The dominating work of this paper is to solve the stability problem of neural networks equipped with state-dependent state delay. …”
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428
Aircraft Detection for Remote Sensing Images Based on Deep Convolutional Neural Networks
Published 2021-01-01Get full text
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429
Rapid Discrimination of Cheese Products Based on Probabilistic Neural Network and Raman Spectroscopy
Published 2020-01-01“…Therefore, an approach of cheese product brand discrimination method based on Raman spectroscopy and probabilistic neural network algorithm was developed. The experimental results show that the spectrum contains abundant molecular vibration information of carbohydrates, fats, proteins, and other components, and the Raman spectral data collection time of a single sample is only 100 s. …”
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430
Research on Fault Diagnosis Based on Singular Value Decomposition and Fuzzy Neural Network
Published 2018-01-01“…A method based on singular value decomposition (SVD) and fuzzy neural network (FNN) was proposed to extract and diagnose the fault features of diesel engine crankshaft bearings efficiently and accurately. …”
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431
Supply Capability Evaluation of Intelligent Manufacturing Enterprises Based on Improved BP Neural Network
Published 2022-01-01“…In this paper, based on the traditional backpropagation (BP) neural network, combined with the improved particle swarm optimization (PSO) algorithm, and on the basis of the supplier evaluation index system, the supplier efficiency evaluation model of intelligent manufacturing enterprises based on DPMPSO-BP neural network is constructed. …”
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432
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
Published 2025-01-01Subjects: Get full text
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433
Large-scale high uniform optoelectronic synapses array for artificial visual neural network
Published 2025-01-01“…Finally, the established artificial visual convolutional neural network (CNN) through optical/electrical signal modulation can reach the high digit recognition accuracy of 96.5%. …”
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434
Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method
Published 2024-01-01Subjects: “…Artificial neural network (ANN)…”
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435
INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS
Published 2024-07-01Subjects: “…neural network, sheet metal forming, springback compensation…”
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436
Load forecasting of microgrid based on an adaptive cuckoo search optimization improved neural network
Published 2024-11-01Subjects: Get full text
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437
Prediction of Compressive Strength Behavior of Ground Bottom Ash Concrete by an Artificial Neural Network
Published 2020-01-01“…The objective of this work was to examine the compressive strength behavior of ground bottom ash (GBA) concrete by using an artificial neural network. Four input parameters, specifically, the water-to-binder ratio (WB), percentage replacement of GBA (PR), median particle size of GBA (PS), and age of concrete (AC), were considered for this prediction. …”
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438
Stability and Hopf Bifurcation of an n-Neuron Cohen-Grossberg Neural Network with Time Delays
Published 2014-01-01“…A Cohen-Grossberg neural network with discrete delays is investigated in this paper. …”
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439
Stability and Bifurcation Analysis of a Three-Dimensional Recurrent Neural Network with Time Delay
Published 2012-01-01“…We consider the nonlinear dynamical behavior of a three-dimensional recurrent neural network with time delay. By choosing the time delay as a bifurcation parameter, we prove that Hopf bifurcation occurs when the delay passes through a sequence of critical values. …”
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440