Hybrid learning schemes for fast training of feed-forward neural networks-Reference-Cited by-同舟云学术

Hybrid learning schemes for fast training of feed-forward neural networks

Author:

Karayiannis Nicolaos B.

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation,Numerical Analysis,General Computer Science,Theoretical Computer Science

Reference18 articles.

1. Supervised learning of probability distributions by neural networks;Baum,1988

2. Learning internal representations from gray-scale images: An example of extensional programming;Cottrell,1987

3. Introduction to the Theory of Neural Computation;Hertz,1991

4. Learning algorithms and probability distributions in feed-forward and feed-back networks;Hopfield,1987

5. Artificial neural networks: learning algorithms, performance evaluation, and applications;Karayiannis,1991

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shear wave prediction method of tuffaceous reservoir based on LSTM cyclic neural network;2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA);2022-06-24

4. An adaptive activation function for multilayer feedforward neural networks;2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings.