Journal: Philosophical Transactions of the Royal Society B: Biological Sciences

Article Title: Higher order thoughts in action: consciousness as an unconscious re-description process

doi: 10.1098/rstb.2011.0421

Figure Lengend Snippet: (a) Network architecture for the Iowa Gambling Task simulation (see [2], simulation 3). The network consists of a first-order feedforward backpropagator, of which the hidden units feed forward into a set of second-order hidden units, which in turn feed forward into two wagering units. (b) Network architecture for the Blindsight and artificial grammar learning (AGL) simulations (see [2], simulations 1 and 2). The network consists of a first-order feedforward backpropagation autoassociator, of which the input and output units are connected through fixed weights to a second-order comparator, which in turn feeds forward into two wagering units.

Article Snippet: The network consists of a first-order feedforward backpropagator, of which the hidden units feed forward into a set of second-order hidden units, which in turn feed forward into two wagering units. ( b ) Network architecture for the Blindsight and artificial grammar learning (AGL) simulations (see [ 2 ], simulations 1 and 2).

Techniques:

Journal: Heliyon

Article Title: Analysis of variables to determine their influence on renewable energy forecasting using ensemble methods

doi: 10.1016/j.heliyon.2024.e30002

Figure Lengend Snippet: Overview of solar energy prediction models and outcomes.

Article Snippet: Multilayer Perceptron (MLP) and Feed-Forward Back-Propagation Networks , Used to predict solar irradiance on horizontal surfaces with a net error significantly lower than some linear methods. , Gardner & Dorling [ ]; Paoli, Voyant, Muselli, & Nivet [ ]; Achite, Banadkooki, Ehteram, Bouharira, Ahmed & Elshafie [ ] .

Techniques: Sampling

Journal: Heliyon

Article Title: Analysis of variables to determine their influence on renewable energy forecasting using ensemble methods

doi: 10.1016/j.heliyon.2024.e30002

Figure Lengend Snippet: Overview of solar energy prediction models and outcomes.

Article Snippet: Multilayer Perceptron (MLP) and Feed-Forward Back-Propagation Networks , Used to predict solar irradiance on horizontal surfaces with a net error significantly lower than some linear methods. , Gardner & Dorling [ ]; Paoli, Voyant, Muselli, & Nivet [ ]; Achite, Banadkooki, Ehteram, Bouharira, Ahmed & Elshafie [ ] .

Techniques: Sampling

Journal: Polymers

Article Title: Short-Beam Shear Strength of New-Generation Glass Fiber-Reinforced Polymer Bars Under Harsh Environment: Experimental Study and Artificial Neural Network Prediction Model.

doi: 10.3390/polym16233358

Figure Lengend Snippet: Figure 21. Structure of ANN used in MATLAB (w = weight; b = bias).

Article Snippet: In the final testing phase, a separate test subset is used to objecti l of t e fully trained model. For this study, the neural network toolbox in MATLAB (“nftool”) was employ d t develop a feed-forward back-propagation model using the Bay sian regularization algorithm.

Techniques: