We also provide numerical examples which support that both increasing the network complexity and training for much longer do improve the network's performance.
Correlation Structure of Training Data and the Fitting Ability of Back Propagation Networks: Some Experimental Results. March 1997; Neural Computing and ...
This paper takes a small but pioneering experimental step towards learning about this statistical behaviour by showing that the results obtained are completely ...
Correlation structure of training data and the fitting ability of back propagation networks: Some experimental results ; MIT Press. Learning in Artificial Neural ...
Nihat Yildiz: Correlation Structure of Training Data and the Fitting Ability of Back Propagation Networks: Some Experimental Results. 14-19 BibTeX · N ...
Experimental Invesitigation of Training Algorithms used in Backpropagation Artificial Neural Networks to Apply Curve Fitting. January 2014; European Journal ...
We propose and study a similar technique called constructive backpropagation (CBP). We show that CBP is computationally just as efficient as the CC algorithm.
The experimental results demonstrate that image quality and quantitative accuracy of reconstructed optical properties are significantly improved with the ...
Duration: 1:11:16
Posted: Aug 10, 2020
Posted: Aug 10, 2020
Missing: Correlation Fitting Ability Experimental Results.
This paper brings forth some new and encouraging results on the ability of neural network models to predict the direc- tion of stock price movements and to ...
Missing: Structure | Show results with:Structure