CLUSTERING INPUT SIGNALS BASED IDENTIFICATION ALGORITHMS FOR TWO-INPUT SINGLE-OUTPUT MODELS WITH AUTOREGRESSIVE MOVING AVERAGE NOISES

Clustering Input Signals Based Identification Algorithms for Two-Input Single-Output Models with Autoregressive Moving Average Noises

This study focused on the identification problems of two-input single-output system with moving average noises based on unsupervised learning methods applied to the input signals.The input signal to the autoregressive moving average model is proposed to be arriving from a source with continuous technical and environmental changes as two separate fe

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Racism Dissemination Model and Simulation Analysis Considering Crowd Classification with Intervention Strategies

The extensive propagation of racism and the endless occurrence of racist speeches on social outlets imperil the harmony and resilience of societies.Consecutively, it is required to work atlanta braves junk headband in-depth analysis of the structure process, dynamical interaction, and intervention impact on racism spread and related devastation.As

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Water supply and sanitation projects in the last decade: project characteristics, multilateral development bank performance, and quality of results

To ensure universal access to water supply and sanitation (WSS) services that are safe, reliable, sustainable, and affordable, it is important to attract the right types of financing and identify the aspects that could be hindering the success of 2004 honda civic exhaust system WSS projects.In this study, 62 completed World Bank WSS projects were a

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