Intelligent Integrated Software Development Based on Neural Network Fuzzy Algorithm

Previous investigation focused on the prediction of total and errors for embedded software development projects using an artificial neural network (ANN). However, methods using ANNs have reached their improvement limits, since an appropriate value is estimated using what is known as point estimation in statistics. This paper proposes a method for predicting the number of errors for embedded software development projects using interval estimation provided by a support vector machine and ANN.

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Design of a Predictive RBF Compensation Fuzzy PID Controller for 3D Laser Scanning System

Applied Sciences ◽

10.3390/app10134662 ◽

2020 ◽

Vol 10 (13) ◽

pp. 4662 ◽

Cited By ~ 1

Author(s):

Minghui Zhao ◽

Xiaobin Xu ◽

Hao Yang ◽

Zhijie Pan

Keyword(s):

Neural Network ◽

Laser Scanning ◽

Control Method ◽

Rbf Neural Network ◽

Step Response ◽

Scanning System ◽

3D Laser Scanning ◽

Pitching Motion ◽

Fuzzy Algorithm ◽

Laser Scanning System

A new proportional integral derivative (PID) control method is proposed for the 3D laser scanning system converted from 2D Lidar with a pitching motion device. It combines the advantages of a fuzzy algorithm, a radial basis function (RBF) neural network and a predictive algorithm to control the pitching motion of 2D Lidar quickly and accurately. The proposed method adopts the RBF neural network and feedback compensation to eliminate the unknown nonlinear part in the Lidar pitching motion, adaptively adjusting the PID parameter by a fuzzy algorithm. Then, the predictive control algorithm is adopted to optimize the overall controller output in real time. Finally, the simulation results show that the step response time of the Lidar pitching motion system using the control method is reduced from 15.298 s to 1.957 s with a steady-state error of 0.07°. Meanwhile, the system still has favorable response performance for the sinusoidal and step inputs under model mismatch and large disturbance. Therefore, the control method proposed above can improve the system performance and control the pitching motion of the 2D Lidar effectively.

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PRAISE

Advances in UML and XML-Based Software Evolution ◽

10.4018/978-1-59140-621-1.ch006 ◽

2011 ◽

pp. 105-140 ◽

Cited By ~ 1

Author(s):

William C. Chu ◽

Chih-Hung Chang ◽

Chih-Wei Lu ◽

YI-Chun Peng ◽

Don-Lin Yang

Keyword(s):

Software Development ◽

Software Systems ◽

Development Environment ◽

Agent Based ◽

Software Development Environment ◽

Software Methodologies ◽

Integrated Software ◽

Software Standards ◽

Development And Evolution

Responding to the fact that software systems become more and more complex and mutable, not only the software-standards-related technologies should be adopted, but the environments for software development and evolution should also be flexible and integratable. These facts make software development and maintenance difficult and costly. In this chapter, we first illustrate the activities and studies for software standards, processes, CASE toolsets, and environments. Then, we propose a process and an environment for evolution-oriented software development, called the PRocess and Agent-based Integrated Software development Environment (PRAISE). PRAISE advocates software development with popular software methodologies, and it uses an XML-based mechanism to unify the various paradigms with different standards. It integrates processes, roles, toolsets, and work products to make software development more efficient. With PRAISE, users are encouraged to adopt familiar mechanisms and formal approaches as they wish. PRAISE maintains the consistency of the paradigms so that users do not need to worry about conflicts with other paradigms that are built in or added later. PRAISE meets the need for evolving software development and maintenance.

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