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Research on Application of Big Data in Internet Financial Credit Investigation Based on Improved GA-BP Neural Network
Published 2018-01-01“…It is found that both LM training algorithm and Bayesian algorithm can converge the error to 10e-6 quickly in the model training, and the overall training effect is ideal. …”
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Application of cayley differential unitary space-time code in multiple-input multiple-output power line communication
Published 2019-08-01“…The application of Cayley differential unitary space-time code in MIMO power line communication system was studied.The linear space of complex skew-Hermitian matrices was mapped to isotropic unitary matrix constellations represented by highly non-linear Stiefel manifolds,by which signals were transmitted through a block fading multiple input multiple output power line channel with in a differential mode.Finally,based on the unconstrained solution of the Cauchy random by which data streams were represented,the approximate linear maximum likelihood estimation of the transmitted signal was induced.Simulation results show that although the performance of the proposed scheme is slightly lower than that of the system based on orthogonal differential space-time code in terms of bit error rate and diversity gain,it can ensure high-speed and reliable communication at higher signal-to-noise ratios,and is suitable for multi-input multi-output power line communication systems requiring high-speed data transmission.…”
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Research on the application of a model combining improved optimization algorithms and neural networks in trajectory tracking of robotic arms
Published 2025-08-01“…This model has shown higher accuracy and lower tracking errors when handling complex nonlinear systems. These advantages suggest that the MMGO has broader applicability and higher reliability in practical applications. …”
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Application of Machine Learning Techniques for Predicting Heating Coil Performance in Building Heating Ventilation and Air Conditioning Systems
Published 2025-04-01“…Among the evaluated models, neural networks, gradient boosting, and bagging demonstrated superior accuracy across various error metrics. Bagging offered the best balance between outlier robustness and pattern recognition, while neural networks showed strong capability in capturing complex relationships. …”
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Application of Support Vector Regression in Indonesian Stock Price Prediction with Feature Selection Using Particle Swarm Optimisation
Published 2019-01-01“…The study found that stock price prediction using SVR and PSO shows good performances for all data, and many features and training data used by the study have relatively low error probabilities. Thereby, an accurate model was obtained to predict stock prices in Indonesia.…”
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Applicable Measuring Range of Two-Electrode Type Commercial Electrolytic Conductivity Meter for Accurate Determination of Electrolytic Conductivity
Published 2022-01-01“…The measurement error caused by a gap in ECs between the measurement sample and the standard solution was also evaluated. …”
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