-
661
Applicability of Artificial Neural Networks to Predict Mechanical and Permeability Properties of Volcanic Scoria-Based Concrete
Published 2018-01-01“…The investigated concrete properties were the compressive strength, the water permeability, and the concrete porosity. Artificial neural networks (ANNs) were used for prediction of the investigated properties. …”
Get full text
Article -
662
Construction and Application of Recognition Model for Black-Odorous Water Bodies Based on Artificial Neural Network
Published 2021-01-01“…It can thus be suggested that the sensory description can be accurately recognized by BP neural network. The application results indicate that all seven rivers had black-odorous phenomenon within a year. …”
Get full text
Article -
663
Characterizing out-of-distribution generalization of neural networks: application to the disordered Su–Schrieffer–Heeger model
Published 2025-01-01“…Here, we show how the informed use of an interpretability method called class activation mapping, and the analysis of the latent representation of the data with the principal component analysis can increase trust in predictions of a neural network (NN) trained to classify quantum phases. …”
Get full text
Article -
664
Stability analysis for μ-p.a.a. solutions of MAM neural network with neuron gains
Published 2025-02-01Subjects: Get full text
Article -
665
A Bearing Performance Degradation Modeling Method Based on EMD-SVD and Fuzzy Neural Network
Published 2019-01-01“…A novel degradation modeling method based on EMD-SVD and fuzzy neural network (FNN) was proposed to identify and evaluate the degradation process of bearings in the whole life cycle accurately. …”
Get full text
Article -
666
Global Exponential Stability of Antiperiodic Solutions for Discrete-Time Neural Networks with Mixed Delays and Impulses
Published 2012-01-01“…The problem on global exponential stability of antiperiodic solution is investigated for a class of impulsive discrete-time neural networks with time-varying discrete delays and distributed delays. …”
Get full text
Article -
667
Optimization and Prediction of Mechanical and Thermal Properties of Graphene/LLDPE Nanocomposites by Using Artificial Neural Networks
Published 2016-01-01“…These applied conditions are used to optimize the following properties: thermal conductivity, crystallization temperature, degradation temperature, and tensile strength while prediction of these properties was done through artificial neural network (ANN). The three first properties increased with increase in both screw speed and C-GNP content. …”
Get full text
Article -
668
Klasifikasi Sinyal Phonocardiogram Menggunakan Short Time Fourier Transform dan Convolutional Neural Network
Published 2023-04-01“…Penelitian ini bertujuan merancang suatu sistem klasifikasi sinyal PCG berdasarkan metode ekstraksi fitur menggunakan Short Time Fourier Transform (STFT) dan metode klasifikasi menggunakan Convolutional Neural Network (CNN). Pengujian rancangan sistem menggunakan dataset sekunder dengan 2.575 rekaman PCG normal dan 665 rekaman PCG abnormal dalam format wav. …”
Get full text
Article -
669
Improving person re-identification based on two-stage training of convolutional neural networks and augmentation
Published 2023-03-01Subjects: Get full text
Article -
670
Empirical modeling potential transfer of land cover change pa city with neural network algorithms
Published 2018-03-01Subjects: Get full text
Article -
671
Force Tracking Control of Lower Extremity Exoskeleton Based on a New Recurrent Neural Network
Published 2024-01-01“…In this paper, a control method based on a novel recurrent neural network, namely zeroing neural network (ZNN), is proposed to obtain the accurate force tracking. …”
Get full text
Article -
672
Applying Neural Networks to Hyperspectral and Multispectral Field Data for Discrimination of Cruciferous Weeds in Winter Crops
Published 2012-01-01“…To identify differences in reflectance between cruciferous weeds, we applied three classification methods: stepwise discriminant (STEPDISC) analysis and two neural networks, specifically, multilayer perceptron (MLP) and radial basis function (RBF). …”
Get full text
Article -
673
-
674
A Novel Neural Network-Based Approach Comparable to High-Precision Finite Difference Methods
Published 2025-01-01Subjects: “…neural network…”
Get full text
Article -
675
Periodic Solutions of a Cohen-Grossberg-Type BAM Neural Networks with Distributed Delays and Impulses
Published 2012-01-01“…A class of Cohen-Grossberg-type BAM neural networks with distributed delays and impulses are investigated in this paper. …”
Get full text
Article -
676
Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect
Published 2018-01-01“…To tackle this problem, in this paper, we propose a deep neural network with bidirectional convolutional recurrent layers for MRI prostate image segmentation. …”
Get full text
Article -
677
Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network
Published 2020-01-01“…In the evaluation of teaching quality, aiming at the shortcomings of slow convergence of BP neural network and easy to fall into local optimum, an online teaching quality evaluation model based on analytic hierarchy process (AHP) and particle swarm optimization BP neural network (PSO-BP) is proposed. …”
Get full text
Article -
678
Valve Fault Diagnosis in Internal Combustion Engines Using Acoustic Emission and Artificial Neural Network
Published 2014-01-01“…The experimental results showed that AE is an effective method to detect damage and the type of damage in valves in both of the time and frequency domains. An artificial neural network was trained based on time domain analysis using AE parametric features (AErms, count, absolute AE energy, maximum signal amplitude, and average signal level). …”
Get full text
Article -
679
Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network
Published 2023-03-01Subjects: “…radial basis function neural network (rbfnn)…”
Get full text
Article -
680
Antisynchronization and Generalized Pinning Control of Multiweighted Coupled Complex-Valued Delayed Memristive Neural Networks
Published 2023-01-01“…In this article, antisynchronization problem of multiweighted coupled complex-valued delayed memristive neural networks (MWCCVDMNNs) with and without coupling delays are investigated. …”
Get full text
Article