HIGH-PRECISION DEBRIS FLOW SCALE PREDICTION MODEL BASED ON CIHHO ALGORITHM COMBINED WITH MULTILAYER PERCEPTRON NEURAL NETWORK

High-Precision Debris Flow Scale Prediction Model Based on CIHHO Algorithm Combined With Multilayer Perceptron Neural Network

This study focuses on improving the precision and global search capabilities of the Harris Hawk Optimization algorithm when dealing with debris flow disasters.The enhanced algorithm, called Cubic map Improved Harris Hawk Optimization (CIHHO), incorporates a BP neural network and integrates Grey relational analysis and Spearman correlation analysis

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Research on the Priority of Service Quality Index for Online English Teaching during the COVID-19 Pandemic: Dual Perspective

Online English education has become a very common way of educating and learning during the coronavirus pandemic.However, the weight analysis index for the service quality survey of the online English education chocolate chip cookie purse industry remains a research gap during this period.Thus, this research implemented the analytic network process

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Nord Stream 2: A prelude to war

To understand the impact of keeping Nord Stream 2 off the map, we model the European natural gas market from the point of view of supply security.Focusing on the network aspects, we propose a novel framework to measure soderhamn ottoman cover supply security, combining a linear programming approach with a risk assessment technique, expected shortfa

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Raman spectroscopy and its urological applications

Purpose: The Raman spectroscopic technology can be utilized for the detection of changes occurring at the molecular level during the pathological transformation of the tissue.The potential diamond painting strand en zee of its use in urology is still in its infancy and increasing utility of this technology will transform noninvasive tissue diagnosi

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