Quantitative Analysis of Gradient Descent Algorithm using scaling methods for improving the prediction process based on Artificial Neural Network.
D. Jeni Jeba SeeliK. K. ThanammalPublished in: Multim. Tools Appl. (2024)
Keyphrases
- quantitative analysis
- computational cost
- preprocessing
- significant improvement
- cost function
- objective function
- computational complexity
- artificial neural networks
- prediction algorithm
- synthetic and real images
- optimal solution
- synthetic and real datasets
- qualitative analysis
- detection algorithm
- iterative algorithms
- predictive model
- scaling factors
- roc curve
- prediction error
- density estimation
- recognition algorithm
- convergence rate
- simulated annealing
- worst case
- k means
- learning algorithm
- synthetic datasets
- ground truth
- neural network