AI Medical Compendium Topic:
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Research Review for Broad Learning System: Algorithms, Theory, and Applications.

IEEE transactions on cybernetics
In recent years, the appearance of the broad learning system (BLS) is poised to revolutionize conventional artificial intelligence methods. It represents a step toward building more efficient and effective machine-learning methods that can be extende...

ReLU-FCM trained by quasi-oppositional bare bone imperialist competition algorithm for predicting employment rate.

PloS one
Fuzzy cognitive maps (FCMs) are a powerful tool for system modeling, which can be used for static and dynamic analysis. However, traditional FCMs are usually learned by gradient-based methods, and the adopted sigmoid nonlinear activation function fre...

Molecular Design Method Using a Reversible Tree Representation of Chemical Compounds and Deep Reinforcement Learning.

Journal of chemical information and modeling
Automatic design of molecules with specific chemical and biochemical properties is an important process in material informatics and computational drug discovery. In this study, we designed a novel coarse-grained tree representation of molecules (Reve...

Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator.

Sensors (Basel, Switzerland)
This article presents the development of a model of a spherical robot that rolls to move and has a single point of support with the surface. The model was developed in the CoppeliaSim simulator, which is a versatile tool for implementing this kind of...

A Method for Evaluating the Quality of Mathematics Education Based on Artificial Neural Network.

Computational and mathematical methods in medicine
Teaching quality evaluation (TQE) is an important link in the process of school teaching management. Evaluation indicators and teaching quality have a complicated and nonlinear connection that is influenced by several variables. Some of these drawbac...

Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning.

Biological cybernetics
From the computational point of view, musculoskeletal control is the problem of controlling high degrees of freedom and dynamic multi-body system that is driven by redundant muscle units. A critical challenge in the control perspective of skeletal jo...

Design and Optimization of Aesthetic Education Teaching Information Platform Based on Big Data Analysis.

Computational intelligence and neuroscience
In the process of promoting school aesthetic education, some schools have some problems, such as insufficient construction of campus aesthetic education environment, lack of aesthetic thinking in various disciplines, and so on. In view of these probl...

Location-aware convolutional neural networks for graph classification.

Neural networks : the official journal of the International Neural Network Society
Graph patterns play a critical role in various graph classification tasks, e.g., chemical patterns often determine the properties of molecular graphs. Researchers devote themselves to adapting Convolutional Neural Networks (CNNs) to graph classificat...

Pan-Logical Probabilistic Algorithms Based on Convolutional Neural Networks.

Computational intelligence and neuroscience
A brand-new kind of flexible logic system called universal logic aims to address a variety of uncertain problems. In this study, the role of convolutional neural networks in assessing probabilistic pan-logic algorithms is investigated. A generic logi...

Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering.

IEEE/ACM transactions on computational biology and bioinformatics
Biomedical factoid question answering is an important task in biomedical question answering applications. It has attracted much attention because of its reliability. In question answering systems, better representation of words is of great importance...