integrated, feed-forward hybrid electric vehicle simulation Search Results


90
SuperGen Inc wind turbine model
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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.
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(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.
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MathWorks Inc pid control
(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.
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Plasso Technology Limited feed-forward 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.
Feed Forward Neural Network, supplied by Plasso Technology Limited, 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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Plasso Technology Limited logistic regression with lasso regularization
(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.
Logistic Regression With Lasso Regularization, supplied by Plasso Technology Limited, 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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Siemens AG systolic array siemens ma-16
(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.
Systolic Array Siemens Ma 16, supplied by Siemens AG, 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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Tropicana Products Inc forward simulator
(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.
Forward Simulator, supplied by Tropicana Products 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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ANSYS inc hfss 3d simulation 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.
Hfss 3d Simulation Software, supplied by ANSYS 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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National Institute of Standards and Technology mnist handwritten digit classification task
(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.
Mnist Handwritten Digit Classification Task, supplied by National Institute of Standards and Technology, 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 vibration suppression simulation test
(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.
Vibration Suppression Simulation Test, 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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DuPont de Nemours commercial nf90 membranes
(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.
Commercial Nf90 Membranes, supplied by DuPont de Nemours, 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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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: