Generalized extreme learning machine autoencoder and a new deep neural network

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Training of an Extreme Learning Machine Autoencoder Based on an Iterative Shrinkage-Thresholding Optimization Algorithm

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Homogeneous ensemble extreme learning machine autoencoder with mutual representation learning and manifold regularization for medical datasets

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Domain adaptive subspace-structure-preserving stacked broad autoencoder for chemical process fault diagnosis

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Malware Detection using Hybrid Autoencoder Approach for Better Security in Educational Institutions

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Improved Extreme Learning Machine Based on Deep Learning and Its Application in Handwritten Digits Recognition

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Terrain Referenced Navigation Using a Multilayer Radial Basis Function-Based Extreme Learning Machine

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Using the modified k-mean algorithm with an improved teaching-learning-based optimization algorithm for feedforward neural network training

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A hybrid constructive algorithm incorporating teaching-learning based optimization for neural network training

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Gauss–Seidel Extreme Learning Machines

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Animal Sound Classification for Wildlife Surveillance

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ELM based architecture for general purpose automatic weight and structure learning

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AUTOMATIC DETECTION OF CARDIOVASCULAR DISEASE USING DEEP KERNEL EXTREME LEARNING MACHINE

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Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation

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On-line monitoring of membrane fouling based on an improved electrical measurement method

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Internet of Things Data Privacy and Security-Based on Blockchain Technology

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Finland's Innovation Policy: Sociohumanitarian Aspects

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A Review of Neural Network Approach on Engineering Drawing Recognition and Future Directions

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Representation learning with efficient extreme learning machine auto-encoders

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Power Quality Analysis Based on Time Series Similarity and Extreme Learning Machine

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Decision trees, random vector functional link neural network and their ensembles

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Variables Creation in Fraud Detection-Based on New York Property Data

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Geometry guided supervised representation learning for classification

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Pyramid Fusion Convolutional Network for Image Super-Resolution

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Semi-supervised framework for clustering and semantic segmentation

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A Double-Weighted Deterministic Extreme Learning Machine Based on Sparse Denoising Autoencoder and Its Applications

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Channel Separate Broad Learning System for Point Cloud Segmentation

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A Graph-Based Vertical Federation Broad Learning System

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Analysis of faults in PV-battery dc microgrid using improved multiscale morphological difference filter

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A novel kernel based multilayer extreme learning machines based on multi-innovation identification theory

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RCGELM-AE: an efficient graph embedding deep model without gradient descent

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Deep Representation Based on Multilayer Extreme Learning Machine

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