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EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction

Home Page: http://kes2020.kesinternational.org/

Python 100.00%
recurrent-neural-network convolutional-neural-network genetic-algorithm whale-optimization-algorithm satin-bowerbird-optimizer life-choice-based-optimizer multi-verse-optimizer equilibirum-optimizer artificial-ecosystem-optimization

eo_cnn's Introduction

EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction

Traditional

  1. Recurrent Neural Network (RNN)
  2. Convolutional Neural Network (CNN)

Evolutionary

  1. Genetic Algorithm (GA)

Swarm

  1. Whale Optimization Algorithm (WOA)

Bio

  1. Satin Bowerbird Optimizer (SBO)

Human (Our proposed)

  1. Life Choice-Based Optimizer (LCBO)

System

  1. Artificial Ecosystem-based Optimization (AEO)

Physics

  1. Multi-Verse Optimizer (MVO)
  2. Equilibirum Optimizer (EO) - (Our proposed)

Final comparison between

  1. RNN
  2. CNN
  3. GA-CNN
  4. WOA-CNN
  5. LCBO-CNN
  6. SBO-CNN
  7. AEO-CNN
  8. MVO-CNN
  9. EO-CNN (Our proposed)

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