Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions.
Qingshan LiuJun WangPublished in: IEEE Trans. Neural Networks (2011)
Keyphrases
- constrained optimization
- piecewise linear
- recurrent neural networks
- activation function
- objective function
- hidden layer
- feed forward
- neural network
- complex valued
- artificial neural networks
- feedforward neural networks
- back propagation
- feed forward neural networks
- dynamic programming
- multi objective
- neural nets
- optimization problems
- multilayer perceptron
- fuzzy neural network
- learning rate
- training algorithm
- neural model
- genetic algorithm
- training data
- convergence speed
- hyperplane
- linear combination