Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Rijeka, Croatia, by Ne wsRx correspondents, research stated, “In this paper, the dataset is collected f rom the fluidic muscle datasheet.” Funders for this research include Ceepus Network; Erasmus+ Projects Wict; Erasmu s+ Aise; University of Rijeka. The news journalists obtained a quote from the research from University of Rijek a: “This dataset is then used to train models predicting the pressure, force, an d contraction length of the fluidic muscle, as three separate outputs. This mode ling is performed with four algorithms-extreme gradient boosted trees (XGB), Ela sticNet (ENet), support vector regressor (SVR), and multilayer perceptron (MLP) artificial neural network. Each of the four models of fluidic muscles (5-100N, 1 0-100N, 20-200N, 40-400N) is modeled separately: First, for a later comparison. Then, the combined dataset consisting of data from all the listed datasets is us ed for training.”
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