Name
Abstract | ||
|---|---|---|
•An Adaptive Fuzzy Neural Network is proposed to predict steering angles.•Takagi–Sugeno fuzzy inference is applied in prediction model.•An improved Least Squares Estimator is adopt to optimize parameters in model.•An adaptive learning method is used to update membership functions and rule base.•Prediction results show the model can accurately follow steering angle patterns. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2017.09.025 | Expert Systems with Applications |
Keywords | Field | DocType |
Lane changes,Fuzzy neural network,Steering prediction,Driving simulation,Adaptive learning algorithm | Least squares,Driving safety,Data mining,Steering angle,Driving simulator,Computer science,Adaptive learning algorithm,Acceleration,Artificial intelligence,Adaptive neuro fuzzy inference system,Artificial neural network,Machine learning | Journal |
Volume | ISSN | Citations |
91 | 0957-4174 | 6 |
PageRank | References | Authors |
0.45 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinjun Tang | 1 | 50 | 4.63 |
| Fang Liu | 2 | 37 | 3.59 |
| Wenhui Zhang | 3 | 292 | 43.28 |
| Ke Ruimin | 4 | 89 | 6.69 |
| Yajie Zou | 5 | 29 | 1.92 |