AIMC Topic: Computer Simulation

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Machine Vision and Intelligent Algorithm Based on Neural Network.

Computational intelligence and neuroscience
Neural network algorithms and intelligent algorithms are hot topics in the field of deep learning. In this study, the neural network algorithm and intelligence are optimized, and it is used in simulation experiments to improve the target image recogn...

Synchronization and state estimation for discrete-time coupled delayed complex-valued neural networks with random system parameters.

Neural networks : the official journal of the International Neural Network Society
In this paper, an array of discrete-time coupled complex-valued neural networks (CVNNs) with random system parameters and time-varying delays are introduced. The stochastic fluctuations of system parameters, which are characterized by a set of random...

Introducing a Novel Model-Free Multivariable Adaptive Neural Network Controller for Square MIMO Systems.

Sensors (Basel, Switzerland)
In this study, a novel Multivariable Adaptive Neural Network Controller (MANNC) is developed for coupled model-free n-input n-output systems. The learning algorithm of the proposed controller does not rely on the model of a system and uses only the h...

A Prediction Model of Health Development Based on Linear Sequential Extreme Learning Machine Algorithm Matrix.

Computational intelligence and neuroscience
The rapid development of social economy not only increases people's living pressure but also reduces people's health. Looking for a healthy development prediction model has become a domestic concern. Based on the analysis of the influencing factors o...

Effects of Integrated Fuzzy Logic PID Controller on Satellite Antenna Tracking System.

Computational intelligence and neuroscience
An electrical device that transforms the electricity into the waves of radio and vice versa is termed the antenna. Its main deployment is in the transmitter and receiver of the antenna. While transmission, the transmitter of radio at the extremities ...

Recurrent neural network to predict hyperelastic constitutive behaviors of the skeletal muscle.

Medical & biological engineering & computing
Hyperelastic constitutive laws have been commonly used to model the passive behavior of the human skeletal muscle. Despite many efforts, the use of accurate finite element formulations of hyperelastic constitutive laws is still time-consuming for a r...

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review.

Journal of healthcare engineering
This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service while we propose appointment scheduling problems and various applications and solution approaches in healthcare systems. For this purpose, more than 150 s...

Convolutional LSTM: a deep learning approach to predict shoulder joint reaction forces.

Computer methods in biomechanics and biomedical engineering
We developed a Convolutional LSTM (ConvLSTM) network to predict shoulder joint reaction forces using 3D shoulder kinematics data containing 30 different shoulder activities from eight human subjects. We considered simulation outcomes from the AnyBody...

Motion Similarity Evaluation between Human and a Tri-Co Robot during Real-Time Imitation with a Trajectory Dynamic Time Warping Model.

Sensors (Basel, Switzerland)
Precisely imitating human motions in real-time poses a challenge for the robots due to difference in their physical structures. This paper proposes a human-computer interaction method for remotely manipulating life-size humanoid robots with a new met...

Optimization Method for Energy Saving of Rural Architectures in Hot Summer and Cold Winter Areas Based on Artificial Neural Network.

Computational intelligence and neuroscience
With the phased spatial planning of the rural revitalization strategy, the proportion of architecture energy consumption in the overall social energy consumption is also increasing year by year. Considering the hot summer and cold winter areas, the p...