Results 41 to 50 of about 332,624 (268)
A novel modification to backpropagation sample selection strategy [PDF]
, 1997 Random sample selection method in backpropagation results in convergence on the error (root of mean squared error, RMSE) surface. These problems, which are caused by the extreme (worst-case) errors, can be solved by a different sample selection strategy.
Redei, Laszlo, Wallinga, Hans
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RMSE‐ELM: Recursive Model Based Selective Ensemble of Extreme Learning Machines for Robustness Improvement [PDF]
Mathematical Problems in Engineering, 2014 For blended data, the robustness of extreme learning machine (ELM) is so weak because the coefficients (weights and biases) of hidden nodes are set randomly and the noisy data exert a negative effect. To solve this problem, a new framework called “RMSE‐ELM” is proposed in this paper. It is a two‐layer recursive model.
Bo Han +5 more
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Jurnal TeknikaA prediction is an estimation of something that has not yet occurred. Its purpose is to minimize uncertainty and reduce errors in planning. Bogor Regency, with the largest population in West Java, requires a substantial amount of food.
Ani Apriani +2 more
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Image Interpolation Using a Rational Bi-Cubic Ball
Mathematics, 2019 : This study deals with the application of new rational bi-cubic Ball function with six parameters in image interpolation, especially for the grayscale image.
Nur Atiqah Binti Zulkifli +5 more
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, 2012 We study a random sampling technique to approximate integrals $\int_{[0,1]^s}f(\mathbf{x})\,\mathrm{d}\mathbf{x}$ by averaging the function at some sampling points.
Dick, Josef
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An adaptive neuro-fuzzy propagation model for LoRaWAN [PDF]
, 2019 This article proposes an adaptive-network-based fuzzy inference system (ANFIS) model for accurate estimation of signal propagation using LoRaWAN. By using ANFIS, the basic knowledge of propagation is embedded into the proposed model.
Curtis, Krystyna +3 more
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Transactions on Transport SciencesThe speed variation along the successive highway sections is one of the most important factors in assessing geometric design consistency. Therefore, it is necessary to predict operating speed on important highway geometric features involving major safety
Kiran Kumar Tottadi, Arpan Mehar
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, 2017 Quantum Metrology calculates the ultimate precision of all estimation strategies, measuring what is their root mean-square error (RMSE) and their Fisher information. Here, instead, we ask how many bits of the parameter we can recover, namely we derive an
Hassani, Majid +2 more
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Comparing Building and Neighborhood-Scale Variability of CO₂ and O₃ to Inform Deployment Considerations for Low-Cost Sensor System Use. [PDF]
, 2018 The increased use of low-cost air quality sensor systems, particularly by communities, calls for the further development of best-practices to ensure these systems collect usable data.
Coffey, Evan +4 more
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Detecting security anomalies from internet traffic using the MA-RMSE algorithms [PDF]
2009 7th IEEE International Conference on Industrial Informatics, 2009 Many detection techniques against worms, denial of service attacks and botnets on the Internet have been developed. It is difficult to detect these threats if the malicious traffic has insufficient intensity, which is usually the case. To make the problem worse, legitimate Internet services behaving like worm and complexity network environments ...
Breno Pinto, Varin Khera, Chun Che Fung
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