In this paper a fully connected feed-forward neural network model was used to predict the minimum spouting velocity of central jet and circular slit spouted beds.
Typical approaches in this category include a denoising auto-encoder (DAE) that uses fully connected feed-forward DNNs [30, 41] or bidirectional long short-term memory (BLSTM) recurrent neural networks (RNNs) [39].
Classification/regression is then performed over the inferred topics h using softmax or linear regression as outlined earlier for LDA, i.e. using Equations 1 and 2. In order to devise an sRSM, we propose a fully connected, feed-forward neural network (FNN) as shown in Figure 2c.
During the training that was carried out by the NeuroSimulator module, all classification levels established were fully connected feed-forward neural networks trained using the Rprop algorithm.
They used fully connected feed-forward NN architecture with one input layer, one hidden layer, and one output layer representing affection status.
More than 30,000 companies are connecting feeds from PayPal, Stripe, Google Analytics, Mailchimp and other software as a service companies to create a comprehensive database of private technology data.
Links in food webs primarily connect feeding relations or trophism among species.
The smart city is an alluring vision of the future, in which civic technology such as traffic lights, smart meters for utilities and public transport could all be connected and feed back invaluable data online.
The model consists of an association of six-layered structures of different thickness constituted of a very large number of columns strongly connected via feed-forward and feedback connections.
Therefore, a computer-controlled feeding device was developed, consisting of an encapsulated microcomputer which was connected to feeding valves.
The mock-up consists of four breeder units connected by feeding and draining manifolds.
