thieu1995 / IntelELM
IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
☆13Updated last month
Alternatives and similar repositories for IntelELM:
Users that are interested in IntelELM are comparing it to the libraries listed below
- EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction☆11Updated 4 years ago
- The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary …☆21Updated last year
- (Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization☆16Updated 3 years ago
- N. Singh and S. Singh, "Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance", J…☆24Updated 3 years ago
- Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python☆67Updated 8 months ago
- Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)☆74Updated 2 years ago
- Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dat…☆41Updated 2 years ago
- Unofficial implementation of paper “Particle Swarm Optimization for Hyper-Parameter Selection in Deep Neural Networks” using Tensorflow/K…☆30Updated 4 years ago
- Matlab and Python code of Dung Beetle Optimizer☆34Updated 2 years ago
- (Code IQSO-MLP) nQSV-Net: a novel queuing search variant for global space search and workload modeling☆3Updated 4 years ago
- A new probabilistic wind speed prediction method, called Shared Weight Long Short-Term Memory Network combined with Gaussian Process Regr…☆10Updated 5 years ago
- Different meta-heuristic optimization techniques for feature selection☆40Updated 4 years ago
- A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression☆25Updated 4 years ago
- multi-objective optimization, single-objective optimization and reinforcement learning in the field of ensemble learning and time series …☆22Updated last year
- This toolbox offers advanced feature selection tools. Several modifications, variants, enhancements, or improvements of algorithms such a…☆32Updated 4 years ago
- A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.☆21Updated 5 years ago
- X. Yuan, Z. Miao, Z. Liu, Z. Yan and F. Zhou, "Multi-Strategy Ensemble Whale Optimization Algorithm and Its Application to Analog Circuit…☆30Updated 2 years ago
- Tawhid, M.A., Ibrahim, A.M. Feature selection based on rough set approach, wrapper approach, and binary whale optimization algorithm. Int…☆15Updated 4 years ago
- A model to select an optimal subset of features from the target data using swarm intelligence metaheuristic-based approach-Grey Wolf Opti…☆17Updated 5 years ago
- Prediction google trace data using Functional Link Neural Network and Optimization Algorithms such as GA, PSO, ABC,...☆48Updated 3 years ago
- Artificial intelligence (AI, ML, DL) performance metrics implemented in Python☆71Updated 5 months ago
- Efficient Time-series Forecasting using Neural Network and Opposition-based Coral Reefs Optimization☆4Updated 3 years ago
- single- and multi-objective particle swarm Optimizer☆16Updated 6 years ago
- ☆35Updated 4 years ago
- Whale Optimization Algorithm to Minimize Functions with Continuous Variables☆21Updated 2 years ago
- 整理35篇期刊所使用的benchmark function(2007-2021),並且統計各benchmark function的出現次數☆17Updated 3 years ago
- Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.☆26Updated 3 years ago
- This repository is a collection of codes generated for optimizing the echo state network for RUL prediction of airplane engines☆11Updated 3 years ago
- ☆12Updated last year
- PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.☆42Updated 8 years ago