AIMC Topic: Problem Solving

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Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization.

Neural networks : the official journal of the International Neural Network Society Oct 16, 2023
In this paper, we propose a two-timescale projection neural network (PNN) for solving optimization problems with nonconvex functions. We prove the convergence of the PNN with sufficiently different timescales to a local optimal solution. We develop a...
Neural Networks, Computer Problem Solving
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Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems.

Neural networks : the official journal of the International Neural Network Society Aug 25, 2023
This paper proposes a deep learning approach for solving non-smooth convex optimization problems (NCOPs), which have broad applications in computer science, engineering, and physics. Our approach combines neurodynamic optimization with physics-inform...
Neural Networks, Computer Algorithms Computer Simulation Problem Solving Physics
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Scene context is predictive of unconstrained object similarity judgments.

Cognition Jul 24, 2023
What makes objects alike in the human mind? Computational approaches for characterizing object similarity have largely focused on the visual forms of objects or their linguistic associations. However, intuitive notions of object similarity may depend...
Humans Neural Networks, Computer Learning Problem Solving Judgment Photic Stimulation Pattern Recognition, Visual
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A survey on neural-symbolic learning systems.

Neural networks : the official journal of the International Neural Network Society Jul 6, 2023
In recent years, neural systems have demonstrated highly effective learning ability and superior perception intelligence. However, they have been found to lack effective reasoning and cognitive ability. On the other hand, symbolic systems exhibit exc...
Neural Networks, Computer Artificial Intelligence Learning Cognition Problem Solving
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Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey.

Sensors (Basel, Switzerland) Jun 5, 2023
Network function virtualization (NFV) is a rapidly growing technology that enables the virtualization of traditional network hardware components, offering benefits such as cost reduction, increased flexibility, and efficient resource utilization. Mor...
Machine Learning Algorithms Technology Problem Solving
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An accelerated end-to-end method for solving routing problems.

Neural networks : the official journal of the International Neural Network Society May 10, 2023
The application of neural network models to solve combinatorial optimization has recently drawn much attention and shown promising results in dealing with similar problems, like Travelling Salesman Problem. The neural network allows to learn solution...
Neural Networks, Computer Problem Solving
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Variable Binding for Sparse Distributed Representations: Theory and Applications.

IEEE transactions on neural networks and learning systems May 2, 2023
Variable binding is a cornerstone of symbolic reasoning and cognition. But how binding can be implemented in connectionist models has puzzled neuroscientists, cognitive psychologists, and neural network researchers for many decades. One type of conne...
Neural Networks, Computer Brain Cognition Neurons Problem Solving
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Solving time delay fractional optimal control problems via a Gudermannian neural network and convergence results.

Network (Bristol, England) Feb 24, 2023
In this paper, we propose a Gudermannian neural network scheme to solve optimal control problems of fractional-order system with delays in state and control. The fractional derivative is described in the Caputo sense. The problem is first transformed...
Neural Networks, Computer Problem Solving Dissent and Disputes Records
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Computational Thinking Training and Deep Learning Evaluation Model Construction Based on Scratch Modular Programming Course.

Computational intelligence and neuroscience Feb 22, 2023
To improve the algorithmic dimension, critical thinking, and problem-solving ability of computational thinking (CT) in students' programming courses, first, a programming teaching model is constructed based on the scratch modular programming course. ...
Humans Algorithms Students Deep Learning Thinking Problem Solving
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Interaction with Industrial Digital Twin Using Neuro-Symbolic Reasoning.

Sensors (Basel, Switzerland) Feb 3, 2023
Digital twins have revolutionized manufacturing and maintenance, allowing us to interact with virtual yet realistic representations of the physical world in simulations to identify potential problems or opportunities for improvement. However, traditi...
Humans Artificial Intelligence Technology Language Natural Language Processing Problem Solving
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