Currently, deep learning networks, with particular regard to convolutional neural network models, are typically exploited for biomedical image classification. One of the disadvantages is that extremely expensive train due complex data models. Extreme machine has recently emerged which, as shown in experimental studies, can produce an acceptable predictive performance several classification task...

A new learning algorithm called extreme learning machine (ELM) has recently been proposed for single-hidden layer feedforward neural networks (SLFNs) with additive neurons to easily achieve good generalization performance at extremely fast learning speed. ELM randomly chooses the input weights and analytically determines the output weights of SLFNs. It is proved in theory that ELM can be extend...

Machine learning models play a vital role in the prediction task several fields of study. In this work, we utilize ability machine algorithms to predict occurrence extreme events nonlinear mechanical system. Extreme are rare that occur ubiquitously nature. We consider four models, namely Logistic Regression, Support Vector Machine, Random Forest and Multi-Layer Perceptron our task. train these ...

Banjir merupakan salah satu permasalahan yang sering terjadi di Indonesia, khususnya Surabaya. baik dalam skala kecil maupun besar membawa dampak negatif bagi lingkungan sekitar. Surabaya kota dengan tingkat banjir tertinggi akibatnya beberapa wilayah terendam cukup dan menghambat aktivitas warga Pada penelitian ini, digunakan data dasarian curah hujan dari stasiun periode waktu Januari 2017 hi...