Results 41 to 50 of about 599,706 (282)

Soft Sensor for VFA Concentration in Anaerobic Digestion Process for Treating Kitchen Waste Based on DSTHELM

IEEE Access, 2020
Kitchen waste is both a pollutant and an available resource. The anaerobic digestion (AD) technology can effectively treat waste and generate biogas. The concentration of volatile fatty acids (VFA) is one of the essential quality monitoring indicators in
Pengfei Yan, Boyang Shen, Yuhong Wang
doaj   +1 more source

A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams [PDF]

, 2015
© 2015 IEEE. Extreme Learning Machine (ELM) is an answer to an increasing demand for a low-cost learning algorithm to handle big data applications. Nevertheless, existing ELMs leave four uncharted problems: complexity, uncertainty, concept drifts, curse ...
Lu, J, Pratama, M, Zhang, G
core   +1 more source

Hardware-Amenable Structural Learning for Spike-based Pattern Classification using a Simple Model of Active Dendrites [PDF]

, 2014
This paper presents a spike-based model which employs neurons with functionally distinct dendritic compartments for classifying high dimensional binary patterns.
Basu, Arindam, Hussain, Shaista, Liu, Shih-Chii   +2 more
core   +2 more sources

An Extreme Learning Machine Based on the Mixed Kernel Function of Triangular Kernel and Generalized Hermite Dirichlet Kernel

Discrete Dynamics in Nature and Society, 2016
According to the characteristics that the kernel function of extreme learning machine (ELM) and its performance have a strong correlation, a novel extreme learning machine based on a generalized triangle Hermitian kernel function was proposed in this ...
Senyue Zhang, Wenan Tan
doaj   +1 more source

Landslide displacement prediction based on AdaBoost-PSO-ELM algorithm

Dianzi Jishu Yingyong, 2019
The process of landslides in mine dumps is a dynamic, large-delay, highly nonlinear characteristic problem. There are many factors affecting the landslide of mine dumps, and each characteristic index has mutual influence.
Zhang Xiaoming, Cao Guoqing, Chen Zengqiang, He Jiakang   +3 more
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Extreme learning machines [PDF]

, 2019
This thesis introduces novel fast learning algorithms for neural networks namely extreme learning machine (ELM) and its variants. DOCTOR OF PHILOSOPHY (EEE)
openaire   +2 more sources

Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data

, 2015
Especially in the Big Data era, the usage of different classification methods is increasing day by day. The success of these classification methods depends on the effectiveness of learning methods.
Çatak, Ferhat Özgür
core   +1 more source

Extreme learning machine based actuator fault detection of a quadrotor helicopter

Advances in Mechanical Engineering, 2017
Actuator fault might occur during quadrotor helicopter’s flight. It is a demand to detect actuator fault in real-time. An actuator fault detection method based on extreme learning machine is proposed.
Chen Li, Yu Zhang, Ping Li
doaj   +1 more source

A Novel Progressive Multi-label Classifier for Classincremental Data

, 2016
In this paper, a progressive learning algorithm for multi-label classification to learn new labels while retaining the knowledge of previous labels is designed.
Dave, Mihika, Er, Meng Joo, Tapiawala, Sahil, Venkatesan, Rajasekar   +3 more
core   +1 more source

Development of an agricultural drought vulnerability index for risk assessment, insurance pricing, and disaster management through Google Earth engine

Discover Geoscience
This study presents an implementation of the Agricultural Drought Vulnerability Index (ADVI) using Google Earth Engine to assess drought vulnerability in semi-arid agricultural regions.
Shemin T John, Merin Susan Philip
doaj   +1 more source