AIMC Topic: Computer Simulation

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The Study of Intelligent Vehicle Navigation Path Based on Behavior Coordination of Particle Swarm.

Computational intelligence and neuroscience
In the behavior dynamics model, behavior competition leads to the shock problem of the intelligent vehicle navigation path, because of the simultaneous occurrence of the time-variant target behavior and obstacle avoidance behavior. Considering the sa...

Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model.

BMC bioinformatics
BACKGROUND: A living cell has a complex, hierarchically organized signaling system that encodes and assimilates diverse environmental and intracellular signals, and it further transmits signals that control cellular responses, including a tightly con...

An Allele Real-Coded Quantum Evolutionary Algorithm Based on Hybrid Updating Strategy.

Computational intelligence and neuroscience
For improving convergence rate and preventing prematurity in quantum evolutionary algorithm, an allele real-coded quantum evolutionary algorithm based on hybrid updating strategy is presented. The real variables are coded with probability superpositi...

Diagnosing Parkinson's Diseases Using Fuzzy Neural System.

Computational and mathematical methods in medicine
This study presents the design of the recognition system that will discriminate between healthy people and people with Parkinson's disease. A diagnosing of Parkinson's diseases is performed using fusion of the fuzzy system and neural networks. The st...

Solving the Traveling Salesman's Problem Using the African Buffalo Optimization.

Computational intelligence and neuroscience
This paper proposes the African Buffalo Optimization (ABO) which is a new metaheuristic algorithm that is derived from careful observation of the African buffalos, a species of wild cows, in the African forests and savannahs. This animal displays unc...

Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links.

IEEE transactions on neural networks and learning systems
This paper is concerned with the problem of extended dissipativity-based state estimation for discrete-time Markov jump neural networks (NNs), where the variation of the piecewise time-varying transition probabilities of Markov chain is subject to a ...

The Best Model of a Cat Is Several Cats.

Trends in biotechnology
Modern biotechnology is emerging at the intersection of engineering, biology, physics, and computer science. As such it carries with it history from several disparate fields of research including a strong tradition in deductive reasoning primarily de...

A Modified Sparse Representation Method for Facial Expression Recognition.

Computational intelligence and neuroscience
In this paper, we carry on research on a facial expression recognition method, which is based on modified sparse representation recognition (MSRR) method. On the first stage, we use Haar-like+LPP to extract feature and reduce dimension. On the second...

Pinning cluster synchronization in an array of coupled neural networks under event-based mechanism.

Neural networks : the official journal of the International Neural Network Society
Cluster synchronization is a typical collective behavior in coupled dynamical systems, where the synchronization occurs within one group, while there is no synchronization among different groups. In this paper, under event-based mechanism, pinning cl...

Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model.

BioMed research international
Recent study shows that long noncoding RNAs (lncRNAs) are participating in diverse biological processes and complex diseases. However, at present the functions of lncRNAs are still rarely known. In this study, we propose a network-based computational...