AIMC Topic: Algorithms

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Optimization of Computer Web Page Interface Based on BP Neural Network Algorithm and Multimedia.

Computational intelligence and neuroscience
In web design, we need to make full use of computer multimedia technology, which can effectively improve the quality of web design and provide greater convenience. The neural network needs to calculate a large amount of training data in image optimiz...

The Synchronization Analysis of Cohen-Grossberg Stochastic Neural Networks with Inertial Terms.

Computational intelligence and neuroscience
The exponential synchronization (ES) of Cohen-Grossberg stochastic neural networks with inertial terms (CGSNNIs) is studied in this paper. It is investigated in two ways. The first way is using variable substitution to transform the system to another...

Feature discretization-based deep clustering for thyroid ultrasound image feature extraction.

Computers in biology and medicine
Ultrasound imaging technology has the advantage of being convenient, less harmful and widely applied, making ultrasonography one of the most popular methods for disease diagnosis. With the rapid development of Computer- Aided Diagnosis (CAD) technolo...

Permutation-Invariant-Polynomial Neural-Network-Based Δ-Machine Learning Approach: A Case for the HO Self-Reaction and Its Dynamics Study.

The journal of physical chemistry letters
Δ-machine learning, or the hierarchical construction scheme, is a highly cost-effective method, as only a small number of high-level energies are required to improve a potential energy surface (PES) fit to a large number of low-level points. However...

Provable Boolean interaction recovery from tree ensemble obtained via random forests.

Proceedings of the National Academy of Sciences of the United States of America
Random Forests (RFs) are at the cutting edge of supervised machine learning in terms of prediction performance, especially in genomics. Iterative RFs (iRFs) use a tree ensemble from iteratively modified RFs to obtain predictive and stable nonlinear o...

Accurate Step Count with Generalized and Personalized Deep Learning on Accelerometer Data.

Sensors (Basel, Switzerland)
Physical activity (PA) is globally recognized as a pillar of general health. Step count, as one measure of PA, is a well known predictor of long-term morbidity and mortality. Despite its popularity in consumer devices, a lack of methodological standa...

A Novel Genetic Neural Network Algorithm with Link Switches and Its Application in University Professional Course Evaluation.

Computational intelligence and neuroscience
This study exploits a novel enhanced genetic neural network algorithm with link switches (EGA-NNLS) to model the professional university course evaluating system. Various indices should be employed to evaluate the learning effect of a professional co...

Computed Tomography Texture Features and Risk Factor Analysis of Postoperative Recurrence of Patients with Advanced Gastric Cancer after Radical Treatment under Artificial Intelligence Algorithm.

Computational intelligence and neuroscience
Computer tomography texture analysis (CTTA) based on the V-Net convolutional neural network (CNN) algorithm was used to analyze the recurrence of advanced gastric cancer after radical treatment. Meanwhile, the clinical characteristics of patients wer...

Network Anomaly Traffic Detection Algorithm Based on RIC-SC-DeCN.

Computational intelligence and neuroscience
In the research of network abnormal traffic detection, in view of the characteristics of high dimensionality and redundancy in traffic data and the loss of original information caused by the pooling operation in the convolutional neural network, whic...