Feedforward neural network
A feedforward neural network (FNN) is an artificial neural network wherein connections between the nodes do not form a cycle. As such, it is different from its descendant: recurrent neural networks. The feedforward neural network was the first and simplest type of artificial neural network devised. In this network, the information moves in only one direction—forward—from the input nodes, through the hidden nodes (if any) and to the output nodes. There are no cycles or loops in the network.
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- enA feedforward neural network (FNN) is an artificial neural network wherein connections between the nodes do not form a cycle. As such, it is different from its descendant: recurrent neural networks. The feedforward neural network was the first and simplest type of artificial neural network devised. In this network, the information moves in only one direction—forward—from the input nodes, through the hidden nodes (if any) and to the output nodes. There are no cycles or loops in the network.
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- enA feedforward neural network (FNN) is an artificial neural network wherein connections between the nodes do not form a cycle. As such, it is different from its descendant: recurrent neural networks. The feedforward neural network was the first and simplest type of artificial neural network devised. In this network, the information moves in only one direction—forward—from the input nodes, through the hidden nodes (if any) and to the output nodes. There are no cycles or loops in the network.
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- enFeedforward neural network
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- media.wiley.com/product_data/excerpt/19/04713491/0471349119.pdf
- web.archive.org/web/20090923121811/http:/wiki.syncleus.com/index.php/DANN%3ABackprop_Feedforward_Neural_Network
- web.archive.org/web/20090507210502/http:/www.emilstefanov.net/Projects/NeuralNetworks.aspx
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- Activation function
- Artificial neural network
- Artificial neurons
- Backpropagation
- Back-propagation
- Category:Neural network architectures
- Chain rule
- Computational learning theory
- Convolutional neural network
- Delta rule
- Directed acyclic graph
- Early stopping
- Exclusive or
- Feed forward (control)
- File:Feed forward neural net.gif
- File:XOR perceptron net.png
- Gradient descent
- Harald Burgsteiner
- Heuristic
- Hopfield network
- Linearly separable
- Local minimum
- Logistic function
- Logistic regression
- Machine learning
- Marvin Minsky
- Modular arithmetic
- Monograph
- Neural network
- Optimization (mathematics)
- Overfitting
- Perceptron
- Perceptrons (book)
- Radial basis function network
- Recurrent neural network
- Rprop
- Seymour Papert
- Sigma
- Sigmoid function
- Statistical model
- Step function
- Universal approximation theorem
- Vanishing gradient problem
- Walter Pitts
- Warren McCulloch
- Wolfgang Maass
- SameAs
- 4jcrZ
- Feedforward neural network
- Jednokierunkowa sieć neuronowa
- m.05pyht
- Mạng thần kinh truyền thẳng
- Q5441227
- Red neuronal prealimentada
- Réseau de neurones à propagation avant
- Rete neurale feed-forward
- Xarxa neuronal directa
- Нейронна мережа прямого поширення
- Нейронная сеть с прямой связью
- רשת זרימה קדימה
- شبکه عصبی پیشخور
- 前馈神经网络
- 순방향 신경망
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- Category:Neural network architectures
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