Optimisation of Linear Passive Suspension System Using MOPSO and Design of Predictive Tool with Artificial Neural Network

J, Niresh; Archana, N.; Raj, Geetanjali

doi:10.24846/v28i1y201911

Cited by 8 publications

(8 citation statements)

References 4 publications

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“…e disadvantage is that the subjectivity is relatively strong, and the conclusion is difficult to converge in the evaluation of multiple people. It is suitable for decision-making analysis objects at the strategic level, and systems that cannot be quantified are difficult to quantify [10].…”

Section: Experts Grading Methodmentioning

confidence: 99%

Multiple Channel Integration Quality Assessment Method Using NARX

Wang

2020

Complexity

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To improve the accuracy of the multiple channel integration quality (MCIQ) evaluation, this paper proposes a comprehensive evaluation method using the nonlinear autoregressive exogenous model (NARX) and constructs an index system. First, the entropy method is used to determine the objective weight of each indicator. The indicators used in this paper are process consistency, information consistency, emotional value, procedural value, service structure transparency, online result value, business relevance, and online purchase intention. Second, an improved gray relational analysis (GRA) algorithm is used to obtain the comprehensive gray relational degree between the above eight indicators’ standard samples and the tested samples. Then, this study uses the dataset preprocessed with the GRA algorithm for training the NARX model. Then, this study uses the trained model to evaluate the quality of multiple channel integration comprehensively. Next, this study uses standardized methods to quantify the evaluation results to provide new ideas and theoretical guidance for teaching traditional retailers to use the advantages of multiple channels to expand their online business. This paper uses 50,000 consecutive samples of a product for 3 months as a dataset in the experimental part. Through the GRA method and the NARX model, the comprehensive gray relational degree between the test sample and the ideal sample is obtained, and the results are quantified. Experiments show that, compared with the GRA method, this paper’s method has a higher degree of fit between the output value and the target value.

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Section: Experts Grading Methodmentioning

confidence: 99%

Multiple Channel Integration Quality Assessment Method Using NARX

Wang

2020

Complexity

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“…MOPSO uses the mutation operator to maintain diversity and dispersion in the solution space and avoid stuck in a local minimum. 38…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Global-guidance chaotic multi-objective particle swarm optimization method for pneumatic suspension handling and ride quality enhancement on the basis of a thermodynamic model of a full vehicle

Ghorbany

Ebrahimi-Nejad

Mollajafari

2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this paper, the parameters of the validated suspension system model of a full-vehicle are tuned through design sensitivity analyses, and then Multi-Objective Particle Swarm Optimization (MOPSO) is used to enhance vehicle ride comfort, which is the vertical whole-body vibrations, and handling features, that is, roll motion and road holding, simultaneously. The parameters of this thermodynamic-based pneumatic suspension system model are comprised of the air spring reservoir volume, orifice resistance, initial volume, and pressure of the pneumatic springs. To enhance the convergence rate, computational times, and diversity of the swarm particles, we have incorporated chaotic dynamics into the MOPSO using the Logistic Map chaotic method to initialize the population and also employed the leader-based global guidance techniques to conduct the potential solutions in each iteration. The analysis of the proposed modeling and optimization results show that the suspension system has been reasonably boosted in terms of vehicle handling and ride comfort. Quantitatively, the RMS acceleration and pitch angle has been reduced by about 71% and 57%, respectively, showing a substantial improvement in passenger comfort. Furthermore, the proposed approach caused an increase in tire road-holding force by about 148% and a reduction of roll angle by 33% which results in an enhancement in vehicle handling, boosting vehicle driving safety.

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“…rough evaluations run on a large dataset from Twitter, they have demonstrated that the proposed method outperforms competitive baseline methods effectively. However, the present work does not consider the use of other types of data in microblogs for hashtag recommendation [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive Attention with Consumer Sentinel for Movie Box Office Prediction

Feng

Liu

2020

Complexity

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To improve the movie box office prediction accuracy, this paper proposes an adaptive attention with consumer sentinel (LSTM-AACS) for movie box office prediction. First, the influencing factors of the movie box office are analyzed. Tackling the problem of ignoring consumer groups in existing prediction models, we add consumer features and then quantitatively analyze and normalize the box office influence factors. Second, we establish an LSTM (Long Short-Term Memory) box office prediction model and inject the attention mechanism to construct an adaptive attention with consumer sentinel for movie box office prediction. Finally, 10,398 pieces of movie box office dataset are used in the Kaggle competition to compare the prediction results with the LSTM-AACS model, LSTM-Attention model, and LSTM model. The results show that the relative error of LSTM-AACS prediction is 6.58%, which is lower than other models used in the experiment.

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Optimisation of Linear Passive Suspension System Using MOPSO and Design of Predictive Tool with Artificial Neural Network

Cited by 8 publications

References 4 publications

Multiple Channel Integration Quality Assessment Method Using NARX

Multiple Channel Integration Quality Assessment Method Using NARX

Global-guidance chaotic multi-objective particle swarm optimization method for pneumatic suspension handling and ride quality enhancement on the basis of a thermodynamic model of a full vehicle

Adaptive Attention with Consumer Sentinel for Movie Box Office Prediction

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