Therefore, this study proposed a feature selection prediction model (bGEBA-SVM) based on an improved bat algorithm and support vector machine by extracting 1694 college graduates from 2022 classes in Zhejiang Province. To improve the search efficiency and accuracy of the optima...
Log in Find a journal Publish with us Track your research Search Cart Home International Journal of Machine Learning and Cybernetics Article IBBA: an improved binary bat algorithm for solving low and high-dimensional feature selection problemsOriginal...
Can someone give me the sample source code for... Learn more about bat algorithm, feature selection
Hence, in the present chapter, we introduce a new ELM optimized using Bat algorithm (Bat-ELM) for modeling hourly DO concentration in river, and we compare its performances with those of the standalone ELM and relevance vector machine (RVM). The three models were compared according to two ...
In addition, the more the number of intervals used in the model, the better the accuracy of flood routing prediction achieved. Keywords: flood routing; Muskingum model; hydrologic models; improved bat algorithm; Wilson flood; Karahan flood
2.2.1. Bat Algorithm (BA) Bats detect preys and avoid obstacles with sonar. According to echolocation in acoustic theory, bats judge preys’ size through adjusting phonation frequency. By the variation of echolocation, bats would detect the distance, direction, velocity, size, etc. of objects, ...
SonoBat renders high resolution sonograms of each call pulse to support the SonoBat intelligent call trending algorithm to extract full call trends through low amplitude or noisy conditions inaccessible to power trending methods such as zero-crossing. Extracting more information content from your ...
Power systems exhibit nonlinearity. causing dynamic instability and complex power oscillations. This research proposes an innovative strategy using the Novel Bat Algorithm (NBA) to achieve ideal Power System Stabilizers (PSSs) in a multimachine power sys
intuition, and the unsupervised anomaly detection methods allow the context of the network asset, or the total description of the network, to be used as the central building block of the ranking algorithm. The exact algorithm used is Isolation Forest (https://en.wikipedia.org/wiki/Isolation_...
A support vector regression (SVR) machine-learning model was used to divide the landslide inventory into training (70%) and testing (30%) datasets. The landslide susceptibility map was produced using 14 causative factors. We applied the established gray wolf optimization (GWO) algorithm, bat ...