A Novel Network Architecture of Decision-Making for Self-Driving Vehicles Based on Long Short-Term Memory and Grasshopper Optimization Algorithm.
Yunxia ShiYing LiJiahao FanTan WangTaiqiao YinPublished in: IEEE Access (2020)
Keyphrases
- optimization algorithm
- network architecture
- decision making
- recurrent neural networks
- long short term memory
- artificial neural
- driving simulator
- neural network
- multi objective
- dangerous situations
- decision makers
- optimization method
- differential evolution
- traffic accidents
- network design
- particle swarm optimization pso
- neural network model
- evolutionary multi objective
- car navigation
- feed forward
- traffic safety
- driver assistance systems
- intelligent vehicles
- data mining
- optimization strategy
- multi objective optimization
- artificial bee colony
- vehicle detection
- global optima
- traffic conditions
- network infrastructure
- traffic flow
- fuzzy logic
- artificial neural networks
- genetic algorithm
- control parameters
- nsga ii
- bp neural network
- back propagation
- simulated annealing
- hybrid optimization algorithm