AIMC Topic: Algorithms

Clear Filters Showing 22571 to 22580 of 28713 articles

Online Fault Diagnosis for Biochemical Process Based on FCM and SVM.

Interdisciplinary sciences, computational life sciences
Fault diagnosis is becoming an important issue in biochemical process, and a novel online fault detection and diagnosis approach is designed by combining fuzzy c-means (FCM) and support vector machine (SVM). The samples are preprocessed via FCM algor...

A recurrent neural network for adaptive beamforming and array correction.

Neural networks : the official journal of the International Neural Network Society
In this paper, a recurrent neural network (RNN) is proposed for solving adaptive beamforming problem. In order to minimize sidelobe interference, the problem is described as a convex optimization problem based on linear array model. RNN is designed t...

APPAGATO: an APproximate PArallel and stochastic GrAph querying TOol for biological networks.

Bioinformatics (Oxford, England)
MOTIVATION: Biological network querying is a problem requiring a considerable computational effort to be solved. Given a target and a query network, it aims to find occurrences of the query in the target by considering topological and node similariti...

Meta-cognitive online sequential extreme learning machine for imbalanced and concept-drifting data classification.

Neural networks : the official journal of the International Neural Network Society
In this paper, a meta-cognitive online sequential extreme learning machine (MOS-ELM) is proposed for class imbalance and concept drift learning. In MOS-ELM, meta-cognition is used to self-regulate the learning by selecting suitable learning strategie...

Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels.

Neural networks : the official journal of the International Neural Network Society
Classification algorithms based on different forms of support vector machines (SVMs) for dealing with interval-valued training data are proposed in the paper. L2-norm and L∞-norm SVMs are used for constructing the algorithms. The main idea allowing u...

Distributed semi-supervised support vector machines.

Neural networks : the official journal of the International Neural Network Society
The semi-supervised support vector machine (S(3)VM) is a well-known algorithm for performing semi-supervised inference under the large margin principle. In this paper, we are interested in the problem of training a S(3)VM when the labeled and unlabel...

Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: (1) To develop an automated algorithm to predict a patient's response (ie, if the patient agrees or declines) before he/she is approached for a clinical trial invitation; (2) to assess the algorithm performance and the predictors on real-w...

An Improved Genetic Fuzzy Logic Control Method to Reduce the Enlargement of Coal Floor Deformation in Shearer Memory Cutting Process.

Computational intelligence and neuroscience
In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of rocker arms, an improved approach through integration of improved genetic algorithm and fuzzy logic control (GFLC) method is proposed. The enlargement...

Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model.

Computational intelligence and neuroscience
Artificial Neural Network (ANN) is a widely used algorithm in pattern recognition, classification, and prediction fields. Among a number of neural networks, backpropagation neural network (BPNN) has become the most famous one due to its remarkable fu...

A Hyper-Heuristic Ensemble Method for Static Job-Shop Scheduling.

Evolutionary computation
We describe a new hyper-heuristic method NELLI-GP for solving job-shop scheduling problems (JSSP) that evolves an ensemble of heuristics. The ensemble adopts a divide-and-conquer approach in which each heuristic solves a unique subset of the instance...