feedforward neural network with backpropagation algorithm Search Results


feedforward backpropagation package  (MathWorks Inc)
90
MathWorks Inc feedforward backpropagation package
Feedforward Backpropagation Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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first-order feedforward backpropagator  (BlindSight GmbH)
90
BlindSight GmbH first-order feedforward backpropagator
(a) Network architecture for the Iowa Gambling Task simulation (see [2], simulation 3). The network consists of a first-order <t>feedforward</t> <t>backpropagator,</t> 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.
First Order Feedforward Backpropagator, supplied by BlindSight GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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first-order feedforward backpropagator - by Bioz Stars, 2026-04
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r2010b  (MathWorks Inc)
90
MathWorks Inc r2010b
(a) Network architecture for the Iowa Gambling Task simulation (see [2], simulation 3). The network consists of a first-order <t>feedforward</t> <t>backpropagator,</t> 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.
R2010b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/r2010b/product/MathWorks Inc
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r2010b - by Bioz Stars, 2026-04
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feedforward backpropagation multilayer perceptron  (MathWorks Inc)
90
MathWorks Inc feedforward backpropagation multilayer perceptron
(a) Network architecture for the Iowa Gambling Task simulation (see [2], simulation 3). The network consists of a first-order <t>feedforward</t> <t>backpropagator,</t> 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.
Feedforward Backpropagation Multilayer Perceptron, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/feedforward backpropagation multilayer perceptron/product/MathWorks Inc
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feedforward backpropagation multilayer perceptron - by Bioz Stars, 2026-04
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software matlab r2009a  (MathWorks Inc)
90
MathWorks Inc software matlab r2009a
(a) Network architecture for the Iowa Gambling Task simulation (see [2], simulation 3). The network consists of a first-order <t>feedforward</t> <t>backpropagator,</t> 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.
Software Matlab R2009a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/software matlab r2009a/product/MathWorks Inc
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software matlab r2009a - by Bioz Stars, 2026-04
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spectrophotometric method  (Optik GmbH)
90
Optik GmbH spectrophotometric method
(a) Network architecture for the Iowa Gambling Task simulation (see [2], simulation 3). The network consists of a first-order <t>feedforward</t> <t>backpropagator,</t> 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.
Spectrophotometric Method, supplied by Optik GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/spectrophotometric method/product/Optik GmbH
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spectrophotometric method - by Bioz Stars, 2026-04
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neural network toolbox  (MathWorks Inc)
96
MathWorks Inc neural network toolbox
(a) Network architecture for the Iowa Gambling Task simulation (see [2], simulation 3). The network consists of a first-order <t>feedforward</t> <t>backpropagator,</t> 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.
Neural Network Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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neural network toolbox - by Bioz Stars, 2026-04
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neural network  (MathWorks Inc)
90
MathWorks Inc neural network
(a) Network architecture for the Iowa Gambling Task simulation (see [2], simulation 3). The network consists of a first-order <t>feedforward</t> <t>backpropagator,</t> 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.
Neural Network, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/neural network/product/MathWorks Inc
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neural network - by Bioz Stars, 2026-04
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matlab software  (MathWorks Inc)
90
MathWorks Inc matlab software
(a) Network architecture for the Iowa Gambling Task simulation (see [2], simulation 3). The network consists of a first-order <t>feedforward</t> <t>backpropagator,</t> 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.
Matlab Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab software/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab software - by Bioz Stars, 2026-04
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Image Search Results


(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.

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: