Parameter convergence and learning curves for neural networks
Neural Computation
Gradient Convergence in Gradient methods with Errors
SIAM Journal on Optimization
Boundedness and convergence of online gradient method with penalty for feedforward neural networks
IEEE Transactions on Neural Networks
Injecting Chaos in Feedforward Neural Networks
Neural Processing Letters
A simple procedure for pruning back-propagation trained neural networks
IEEE Transactions on Neural Networks
Deterministic convergence of an online gradient method for BP neural networks
IEEE Transactions on Neural Networks
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This paper considers the convergence of chaos injection-based backpropagation algorithm. Both the weak convergence and strong convergence results are theoretically established.