... years, **neural** **networks** have found interesting applications in the field of time series modeling and ...of **neural** **networks** when comparted with chaotic ...and **neural** approximate models. ...

12

... sense, **neural** **networks** are extremely useful, since not only are they capable of recognizing patterns with the aid of the expert, but also of generalizing the information contained in the input data, thus ...

5

... these **neural** **networks** were trained using 20 hidden neurons, a maximum of 50 epochs, and the logistic function as activation function in the hidden and output ...

6

... Feedforward **Neural** **Networks** (DFNN), Deep Belief **Networks** (DBN), Deep AutoEncoder **Networks**, Deep Boltzmann Machines (DBM), Deep Convolutional **Neural** **Networks** (DCNN) and Deep ...

26

... backpropagation **neural** **networks** using a pattern partitioning scheme with a set-training ...small **neural** net selected for the testing case a substantial acceleration ranging from 4 to more than ten ...

12

... This paper proposes a new whole and distributed integration approach between Artificial **Neural** Net- works (ANNs) and Databases (DBs) taking into account the different stages of the former’s lifecycle (training, ...

14

... Although out of the scope of this work, it is possible to use pattern representations to work o n colour images. In this case, an increase of training time produced by the increase in size of the **neural** network, ...

7

... The synchronous or asynchronous feature of the Hopfield ANN is achieved by the microprogram. In the first case the neurons are all updated in each clock cycle. In the second, the neurons are updated sequentially. This ...

7

... **Neural** network-based models are nowadays seen as a potential alternative for modeling electronics elements having medium-to-strong memory effects along with high-order nonlinearity. NNs are preferred over ...

10

... investigated_the_use_of **neural** **networks** for one-step time series forecasting_on cryptocurrencies ...Convolutional **Neural** **Networks** (CNN) models are put to test to see if binary ...

92

... **neural** **networks**, there’s no mathematical guar- antee that the training procedure will ever find the best set of ...recurrent **neural** **networks** are proving exceptionally ...

6