Loss Function Considering Multiple Attributes of a Temporal Sequence for Feed-Forward Neural Networks.
Noriyuki MatsunagaYamato OhtaniTatsuya HiraharaPublished in: IEICE Trans. Inf. Syst. (2020)
Keyphrases
- decision making
- multiple attributes
- loss function
- feed forward neural networks
- temporal sequences
- group decision making
- back propagation
- multi layer
- neural network
- artificial neural networks
- multi attribute
- pairwise
- temporal information
- temporal patterns
- hidden layer
- multiple criteria
- support vector
- missing values
- video sequences
- data analysis
- training algorithm
- training data
- machine learning
- learning rate
- data sets
- supervised learning