Online tuning of artificial neural networks using para-model algorithm - A preliminary study.
Loïc MichelPublished in: CoRR (2019)
Keyphrases
- mathematical model
- objective function
- recognition algorithm
- probabilistic model
- cost function
- detection algorithm
- artificial neural networks
- preprocessing
- optimization algorithm
- theoretical analysis
- levenberg marquardt
- tree structure
- algorithm employs
- final result
- optimization model
- estimation algorithm
- algorithm has been developed
- computational cost
- significant improvement
- dynamic programming
- energy function
- simulated annealing
- np hard
- input data
- hybrid model
- selection algorithm
- classification algorithm
- search space
- prior information
- filtering algorithm
- bayesian framework
- parameter tuning
- parameter estimation
- feed forward neural networks
- passive aggressive
- genetic algorithm
- neural network
- similarity measure
- graph cuts
- optimal solution
- online learning
- linear programming
- computational intelligence
- learning algorithm
- lower bound
- probability distribution
- using artificial neural networks
- least squares
- worst case
- matching algorithm
- particle swarm optimization
- convergence rate
- back propagation
- closed form