AIMC Topic: Computer Simulation

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Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset.

Sensors (Basel, Switzerland)
Data-driven methods have prominently featured in the progressive research and development of modern condition monitoring systems for electrical machines. These methods have the advantage of simplicity when it comes to the implementation of effective ...

Multihydrophone Fusion Network for Modulation Recognition.

Sensors (Basel, Switzerland)
Deep learning (DL)-based modulation recognition methods of underwater acoustic communication signals are mostly applied to a single hydrophone reception scenario. In this paper, we propose a novel end-to-end multihydrophone fusion network (MHFNet) fo...

Methods for numerical simulation of knit based morphable structures: knitmorphs.

Scientific reports
Shape morphing behavior has applications in many fields such as soft robotics, actuators and sensors, solar cells, tight packaging, flexible electronics, and biomedicine. The most common approach to achieve shape morphing structures is through shape ...

An Intelligent Optimization for Building Design Based on BP Neural Network and SPEA-II Multiobjective Algorithm.

Computational intelligence and neuroscience
With the continuous development of the field of building optimization, more and more optimization methods have sprung up, among which there are many kinds of intelligent optimization algorithms. This kind of intelligent optimization algorithm usually...

Compound FAT-based prespecified performance learning control of robotic manipulators with actuator dynamics.

ISA transactions
In the framework of the backstepping algorithm, this article proposes a new function approximation technique (FAT)-based compound learning control law for electrically-driven robotic manipulators with output constraint. The Fourier series expansion i...

Developed multiple-layer perceptron neural network based on developed search and rescue optimizer to predict iron ore price volatility: A case study.

ISA transactions
In economic investment, the role of forecasting is very important because in an economic project, the investor must carefully examine the dimensions of the work such that one of the most important and perhaps the main factor of a future investor and ...

Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation.

Neural networks : the official journal of the International Neural Network Society
In this paper, an event-triggered integral reinforcement learning (IRL) algorithm is developed for the nonzero-sum game problem with asymmetric input saturation. First, for each player, a novel non-quadratic value function with a discount factor is d...

Optimistic reinforcement learning by forward Kullback-Leibler divergence optimization.

Neural networks : the official journal of the International Neural Network Society
This paper addresses a new interpretation of the traditional optimization method in reinforcement learning (RL) as optimization problems using reverse Kullback-Leibler (KL) divergence, and derives a new optimization method using forward KL divergence...

Multistability analysis of delayed recurrent neural networks with a class of piecewise nonlinear activation functions.

Neural networks : the official journal of the International Neural Network Society
This paper studies the multistability of delayed recurrent neural networks (DRNNs) with a class of piecewise nonlinear activation functions. The coexistence as well as the stability of multiple equilibrium points (EPs) of DRNNs are proved. With the B...

Closing the Control Loop with Time-Variant Embedded Soft Sensors and Recurrent Neural Networks.

Soft robotics
Embedded soft sensors can significantly impact the design and control of soft-bodied robots. Although there have been considerable advances in technology behind these novel sensing materials, their application in real-world tasks, especially in close...