… algorithm has obvious advantages in convergence accuracy, iteration speed and stability in
the feature selection of intrusion detection … wolf optimization algorithm with logarithm function …

… functions and the web anomaly detection simulation show that, the proposed fruit fly optimization
algorithm … with the complex problems with high dimensions in web anomaly detection. …

… of particle swarm optimization method, a 7-DOF manipulator system PID parameter
identification algorithm based on chaotic theory for multi- swarm particle swarm optimization was …

… ability,a novel fruit fly optimization algorithm based on population … of the anomaly detection
showed that,the fruit fly algorithm … method based on SVM for intrusion detection[J]. Journal on …

… Early detection and treatment of symptoms and abnormalities can significantly decrease
this rate. Therefore, the heart related signals are the most important vital signals to monitor. For …

… Abstract: Aiming at the problems existing in the application of machine learning algorithm,
an optimization system of the machine learning model based on the heuristic algorithm was …

… ) and tonalites and granites (intrusive ) rock bodies and show high copper anomalies [45,
47]. … A backward elimination discrete optimization algorithm for model selection in spatio-…

… a few techniques to discover exceptions or abnormalities for sensor network applications. …
A further technique for optimizing mining for coded cloud information using homomorphic …

… , intrusion detection, traffic perception and other applications systematically, and analyzes
the features and shortcomings of those deep learning applications in detail; Finally, prospects …

いは,(2) オクロ鉱山のウラン鉱床で発見された「天然の原子炉」 5) と同様な現象が地殻の深部で
現在でも起こっている6), というような議論なども行われている. 一方, 本邦のいろいろな火山岩を非…