feed-forward backpropagation neural network algorithm Search Results


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MathWorks Inc multilayered feed-forward backpropagation neural network
Multilayered Feed Forward Backpropagation 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
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MathWorks Inc feed forward neural networks with backpropagation
Feed Forward Neural Networks With Backpropagation, 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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MathWorks Inc feed-forward backpropagation multilayer perceptron
Feed Forward 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
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Lianbo Technology Co Ltd feed forward-backpropagation model
Feed Forward Backpropagation Model, supplied by Lianbo Technology Co Ltd, 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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MathWorks Inc matlab software
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MathWorks Inc 2020b
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Lianbo Technology Co Ltd feed forward-backpropagation model based on the lianbo hu ann method
Feed Forward Backpropagation Model Based On The Lianbo Hu Ann Method, supplied by Lianbo Technology Co Ltd, 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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MathWorks Inc neural network predictor default feed-forward backpropagation network
Neural Network Predictor Default Feed Forward Backpropagation 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
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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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MathWorks Inc matlab function newff
Summary of the adopted parameters in the NN prediction of the sea-level time series.
Matlab Function Newff, 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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MathWorks Inc neural network toolbox
Summary of the adopted parameters in the NN prediction of the sea-level time series.
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(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:

Summary of the adopted parameters in the NN prediction of the sea-level time series.

Journal: Sensors (Basel, Switzerland)

Article Title: Time-Frequency Analyses of Tide-Gauge Sensor Data

doi: 10.3390/s110403939

Figure Lengend Snippet: Summary of the adopted parameters in the NN prediction of the sea-level time series.

Article Snippet: Matlab function , : newff , Feed-forward backpropagation network.

Techniques: