AIMC Topic: Algorithms

Clear Filters Showing 13981 to 13990 of 28713 articles

Application of Machine Learning in Rheumatic Immune Diseases.

Journal of healthcare engineering
People are paying greater attention to their personal health as society develops and progresses, and rheumatic immunological disorders have become a serious concern that affects human health. As a result, research on a stable, trustworthy, and effect...

A Study on Regional GDP Forecasting Analysis Based on Radial Basis Function Neural Network with Genetic Algorithm (RBFNN-GA) for Shandong Economy.

Computational intelligence and neuroscience
Gross domestic product (GDP) is an important indicator for determining a country's or region's economic status and development level, and it is closely linked to inflation, unemployment, and economic growth rates. These basic indicators can comprehen...

Remote Sensing Image Recognition Based on LOG-T-SSA-LSSVM and AE-ELM Network.

Computational intelligence and neuroscience
Aiming at the influence of different working conditions on recognition accuracy in remote sensing image recognition, this paper adopts hierarchical strategy to construct a network. Firstly, in order to establish the classification relationship betwee...

TextRank Keyword Extraction Algorithm Using Word Vector Clustering Based on Rough Data-Deduction.

Computational intelligence and neuroscience
When TextRank algorithm based on graph model constructs graph associative edges, the co-occurrence window rules only consider the relationships between local terms. Using the information in the document itself is limited. In order to solve the above ...

Analysis of random synchronization under bilayer derivative and nonlinear delay networks of neuron nodes via fixed time policies.

ISA transactions
In order to solve a challenging problem, i.e., fixed time synchronization of bilayer networks with derivative coupling and nonlinear delay coupling, fixed time polices are brought to achieve random synchronization for bilayer multiple weight hybrid c...

MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision.

Human brain mapping
We present a diffeomorphic image registration algorithm to learn spatial transformations between pairs of images to be registered using fully convolutional networks (FCNs) under a self-supervised learning setting. Particularly, a deep neural network ...

Application of artificial intelligence based on synchrosqueezed wavelet transform and improved deep extreme learning machine in water quality prediction.

Environmental science and pollution research international
Water quality prediction is the basis for the prevention and control of water pollution. In this paper, to address the problem of low prediction accuracy of existing empirical models due to the non-smoothness and nonlinearity of water quality series,...

Low-degree term first in ResNet, its variants and the whole neural network family.

Neural networks : the official journal of the International Neural Network Society
To explain the working mechanism of ResNet and its variants, this paper proposes a novel argument of shallow subnetwork first (SSF), essentially low-degree term first (LDTF), which also applies to the whole neural network family. A neural network wit...

Semi-supervised incremental learning with few examples for discovering medical association rules.

BMC medical informatics and decision making
BACKGROUND: Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by these rules are very useful i...

A gradient-based automatic optimization CNN framework for EEG state recognition.

Journal of neural engineering
. The electroencephalogram (EEG) signal, as a data carrier that can contain a large amount of information about the human brain in different states, is one of the most widely used metrics for assessing human psychophysiological states. Among a variet...