Abstract: In today’s world, the demand for Machine Learning algorithms, mainly neural networks, and its software implementation has increased. Considering this, the need for developing a cost ...
Abstract: In this work, we propose and demonstrate a received-signal-strength (RSS) based visible-light-positioning (VLP) system using sigmoid function data preprocessing (SFDP) method; and apply it ...
摘要: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...
摘要: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is detrimental ...
Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...
In recent years, neural networks have once again triggered an increased interest among researchers in the machine learning community. So-called deep neural networks model functions using a composition ...
Marshall, a Mississippi native, is a dedicated IT and cybersecurity expert with over a decade of experience. Along with Techopedia, his articles can be found… This mapping is done through kernel ...
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