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...

A sequential extreme learning machine incorporating a noise compensation scheme via an information measure is developed. In this design, the computationally simple extreme learning machine architecture is maintained while survival error information potential function provides a mechanism for noise compensation. The error compensation is updated online via an error codebook design where an error...

Recently, the rapid development of inexpensive RGB-D sensor, like Microsoft Kinect, provides adequate information for human action recognition. In this paper, a recognition algorithm is presented in which feature representation is generated by concatenating spatial features from human contour of key frames and temporal features from time difference information of a sequence. Then, an improved m...

Extreme learning machine is a new learning algorithm for the single hidden layer feedforward neural networks (SLFNs). ELM has been widely used in various fields and applications to overcome the slow training speed and over-fitting problems of the conventional neural network learning algorithms. ELM algorithm is based on the empirical risk minimization, without considering the structural risk an...

Extreme learning machine (ELM) [G.-B. Huang, Q.-Y. Zhu, C.-K. Siew, Extreme learning machine: a new learning scheme of feedforward neural networks, in: Proceedings of the International Joint Conference on Neural Networks (IJCNN2004), Budapest, Hungary, 25–29 July 2004], a novel learning algorithm much faster than the traditional gradient-based learning algorithms, was proposed recently for sing...