It was recognized decades ago that it is crucial to study systems by constructing multiple social networks using different types of ties among the same set of individuals [19].
In this work, control of a pH neutralization process is established by performing the following tasks: (i) development of three neural network models, (ii) tuning the multiple neural networks using a novel real coded genetic algorithm (RCGA), and (iii) design of a multi-model predictive controller (MPC).
Second, a novel method is proposed, named msiDBN, which models a common representation of multiple PPI networks using a deep belief network framework and analyzes the reconstruction errors and the variabilities across the time courses in the biological process.
This study examined multiple cortical networks using Template-Based Rotation (TBR), a method that applies a priori network and nuisance component templates defined from an independent dataset to test datasets of interest.
The last reference [ 18] distinguishes multiple functional networks using a hybrid approach applying PCA to regions of interest derived from a categorical first-level analysis of subjects and activation conditions.
We developed an efficient, semi-supervised tool that takes the users' empirical knowledge of cutoff values into account (below which interactions or similarities can be neglected) to combine multiple data networks using an averaging or kernel fusion method (Kittler et al., 1998).
Royzen scraped his own image database from various sources and trained up multiple convolutional neural networks using days of AWS EC2 compute time.
In this research, two forecast models for irradiation are presented: a irradiance forecast model based on artificial neural networks (multiple feed-forward networks using historical meteorological data and weather forecast data) and another persistence irradiance forecast model.
One allows developers to parallelize the training of their networks using multiple GPUs simultaneously.
