Optimal Setting of Cement Calciner Outlet Temperature Based on Energy Flow

Ma, Hengchao; Zhao, Liang; Ma, Honghao

doi:10.1109/cac57257.2022.10055071

Search citation statements

Order By: Relevance

Paper Sections

Select...

Three-layer Model Of Bp Neural Network1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Depending on the specific problem, the output layer can contain one or multiple output nodes. The training process of the BP neural network is achieved through the Backpropagation Algorithm [7]. During the training process, the neural network's output is compared to the true labels, and the prediction error is computed.…”

Section: Three-layer Model Of Bp Neural Networkmentioning

confidence: 99%

Research and application of intelligent car based on BP neural network PID control

Sun

2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

View full text Add to dashboard Cite

This paper aims to study and apply the BP neural network-based PID control for intelligent cars. Although the traditional PID controller has been widely used in control systems, its difficulties in parameter tuning and poor adaptability limit its performance in complex environments. To address this, the BP neural network is introduced as an auxiliary component to enhance the control system's robustness and adaptability. The paper first introduces the principles of PID controllers and BP neural networks and then designs a control strategy based on BP neural network-based PID control, taking into account the characteristics of the intelligent car system. Subsequently, the effectiveness of the control strategy on intelligent cars is verified through experiments and simulations, analyzing its performance indicators. Finally, the potential applications and future directions of intelligent cars in different scenarios are discussed.

show abstract

Section: Three-layer Model Of Bp Neural Networkmentioning

confidence: 99%

Research and application of intelligent car based on BP neural network PID control

Sun

2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

View full text Add to dashboard Cite

show abstract

Optimal Setting of Cement Calciner Outlet Temperature Based on Energy Flow

Cited by 1 publication

References 1 publication

Research and application of intelligent car based on BP neural network PID control

Research and application of intelligent car based on BP neural network PID control

Contact Info

Product

Resources

About