Pages that link to "Item:Q2565836"
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The following pages link to Evolutionary extreme learning machine (Q2565836):
Displaying 27 items.
- Identification of chaotic system using Hammerstein-ELM model (Q328932) (← links)
- Trends in extreme learning machines: a review (Q889343) (← links)
- A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems (Q1038288) (← links)
- Adaptive reactionless control strategy via the PSO-ELM algorithm for free-floating space robots during manipulation of unknown objects (Q1647546) (← links)
- Prediction model of permeability index for blast furnace based on the improved multi-layer extreme learning machine and wavelet transform (Q1661448) (← links)
- Bayesian network based extreme learning machine for subjectivity detection (Q1661455) (← links)
- Extreme learning machines on high dimensional and large data applications: a survey (Q1664599) (← links)
- Particle swarm optimization based selective ensemble of online sequential extreme learning machine (Q1665837) (← links)
- Proceedings of ELM-2015. Volume 1. Theory, algorithms and applications (I). Proceedings of the international conference on extreme learning machine, Hangzhou, China, December 15--17, 2015 (Q1688562) (← links)
- Proceedings of ELM-2015. Volume 2. Theory, algorithms and applications (II). Proceedings of the international conference on extreme learning machine, Hangzhou, China, December 15--17, 2015 (Q1696173) (← links)
- Risk stratification with extreme learning machine: a retrospective study on emergency department patients (Q1717944) (← links)
- A hybrid DE-RGSO-ELM for brain tumor tissue categorization in 3D magnetic resonance images (Q1718060) (← links)
- Training an extreme learning machine by localized generalization error model (Q1797937) (← links)
- Discovering the impact of hidden layer parameters on non-iterative training of feed-forward neural networks (Q1797939) (← links)
- A comparative analysis of support vector machines and extreme learning machines (Q1941592) (← links)
- Essential rate for approximation by spherical neural networks (Q1952559) (← links)
- Identification and control of nonlinear system based on Laguerre-ELM Wiener model (Q2198958) (← links)
- A fast neural network learning algorithm with approximate singular value decomposition (Q2299166) (← links)
- Identification of nonlinear system using extreme learning machine based Hammerstein model (Q2300242) (← links)
- An efficient diagnosis system for Parkinson's disease using kernel-based extreme learning machine with subtractive clustering features weighting approach (Q2330194) (← links)
- A novel kernel extreme learning machine algorithm based on self-adaptive artificial bee colony optimisation strategy (Q2798463) (← links)
- Improved hybrid incremental extreme learning machine algorithm (Q2992379) (← links)
- ELM algorithm based on softplus activation function and improved Fisher discrimination (Q2992609) (← links)
- A novel extreme learning machine based on bagged kernel (Q3306689) (← links)
- An extreme learning machine algorithm based on mutual information variable selection (Q5257221) (← links)
- An incremental constructive extreme learning machine (Q5497706) (← links)
- The generalized extreme learning machines: tuning hyperparameters and limiting approach for the Moore-Penrose generalized inverse (Q6055151) (← links)
