With the rapid development of the times, artificial intelligence, as a branch of computer science, has been widely used. Artificial intelligence has made many remarkable achievements, not only in the expert system whi...
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With the rapid development of the times, artificial intelligence, as a branch of computer science, has been widely used. Artificial intelligence has made many remarkable achievements, not only in the expert system which people have always attached great importance to, but also in the artificial neural network and various intelligent algorithms which have gradually risen in recent years. The research of intelligent robots and robotics has greatly promoted the development of many artificial intelligence ideas and technologies. With the emergence and high-speed development of automation technology, robot technology has made great progress. People invent and use different types of robots to serve human beings in continuous exploration. Based on the automation technology of network, in the recent research content of artificial intelligence, this paper further prospects the development trend of application of artificial intelligence in special robots.
By 2010,the world has already entered the ZB era in which the global data volume roughly doubles every two years,a day of video monitoring data of more than 1500 PB. By intelligent algorithm research and cloud computi...
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By 2010,the world has already entered the ZB era in which the global data volume roughly doubles every two years,a day of video monitoring data of more than 1500 PB. By intelligent algorithm research and cloud computing technology,video structured analysis platform based on Docker is constructed through video structure key technology research. Key information of vehicles and moving targets in surveillance video being batch extracted by system forms an information retrieval library. The structure of Docker virtual technology and cloud computing platform improves high availability of system resources and achieves high reliability and expansibility of system. In actual applications,the key information in surveillance video can be spotted quickly and accurately,which has been widely used especially in public security and transportation industry,greatly improving efficiency in such industry.
An integrated supplier selection problem under fuzzy environment is studied in this ***,the linear weight method is used to calculate the scores of suppliers according to their different attributes,such as:quality,ser...
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An integrated supplier selection problem under fuzzy environment is studied in this ***,the linear weight method is used to calculate the scores of suppliers according to their different attributes,such as:quality,service,warranty,delivery,reputation and position,which are assumed as fuzzy ***,a fuzzy expected value programming model and a fuzzy chance-constrained programming model are proposed to select the best combination of the suppliers and determine the order quantities.A hybrid intelligent algorithm,based on fuzzy simulation,genetic algorithm and neural network,is used to solve the two ***,a numerical example is given to illustrate the effectiveness of the proposed models.
This paper introduces a method based on the intelligent algorithm for wireless power transmission system parameter identification. The radial basis function (RBF) neural network has been used as the algorithm model, t...
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This paper introduces a method based on the intelligent algorithm for wireless power transmission system parameter identification. The radial basis function (RBF) neural network has been used as the algorithm model, the amplitude, and frequency of the input terminal voltage of the wireless transmission system, the amplitude of the input current and as the sample eigenvalue, the phase angle predicts the resistance value and capacitance value of the receiving end of the system, thus avoiding the complicated work measured at the receiving end. The sample data used by the algorithm is generated by calculating the exact value through the system matrix equation and then adding a certain amplitude of noise, which is close to the actual operating parameters of the wireless transmission system. The RBF neural network training process is divided into two parts: sample center point position calculation and weight value optimization. The sample center point position is calculated by the k-means clustering algorithm, and the weight value is optimized by the driven adaptive learning rate gradient. algorithm. The final test results show that the RBF neural network can predict the parameters of the wireless transmission system with high precision, and has certain anti-interference ability, good generalization performance, and can be applied in the actual wireless transmission system. At the end of the paper, the application scope of the algorithm is summarized, and the improvement and possible improvement methods of the algorithm are proposed.
this paper presents an efficient IEEE standard robot maze-solving algorithm. According to the actual situation of the robot searching maze, this algorithm improved the flood fill algorithm in maze-solving. Compari...
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this paper presents an efficient IEEE standard robot maze-solving algorithm. According to the actual situation of the robot searching maze, this algorithm improved the flood fill algorithm in maze-solving. Comparing with the results of using flood-fill algorithm directly, experiments show that this algorithm works better and more efficiently, and also, it has the advantage of little searching time and high speed of maze-solving. So it can be used to some areas like robot finding path.
The contributions presented in this special issue are focused on the application of bio-inspired insight for the improvement in performance and accuracy of robotic systems.[...]it can be claimed that this special issu...
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The contributions presented in this special issue are focused on the application of bio-inspired insight for the improvement in performance and accuracy of robotic systems.
[...]it can be claimed that this special issue plays an important role in the development of a rapidly growing field of research (Cuperlier et al., 2007; Pfeifer et al., 2007; Arbib et al., 2008; Khamassi et al., 2011; Caluwaerts et al., 2012; Li and Zhang, 2018) at the intersection of bio-inspired systems and robotics.
In our selection of the research topics, we classified the contributions into two main groups: (a) those applying the insight obtained from the biological systems to improve the performance and accuracy of the control algorithms in robots and (b) those applying the latest developments in neuro-sciences to develop intelligent robotic systems capable of autonomous decision making.
Redundancy resolution of redundant robotic manipulators (Jin et al.), motion planning (Xiao et al.; Guo et al.), and control and development of control algorithms to enable the robots to perform human-like postures, gestures, and movements (Tommasino and Campolo) also happens to be a topic of great interest for the contributions in this special issue.
Location-Allocation(LA)Problem is to lo- cate a set of facilities such that the transportation cost from facilities to customers is *** problem has been studied by many researchers in ran- dom and fuzzy fields for its...
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Location-Allocation(LA)Problem is to lo- cate a set of facilities such that the transportation cost from facilities to customers is *** problem has been studied by many researchers in ran- dom and fuzzy fields for its general practical applica- ***,facilities may supply different lev- els such as hi-level LA *** this paper,we consider bi-level capacitated LA problem in uncertain environment(BLCLAU).In BLCLAU,the parameters of demands level are all uncertain *** or- der to solve BLCLAU,we introduces EVM model of BLCLAU,and gives the solution of EVM by a hy- brid intelligent method combining fuzzy simulation and guided evolution simulation algorithm(GESA)to- gether,discussed.
ABS quality directly affects the stability of vehicle braking and traffic safety,the current ABS in the robustness and adaptability need to be *** at the shortcomings of the traditional fuzzy control that due to the l...
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ABS quality directly affects the stability of vehicle braking and traffic safety,the current ABS in the robustness and adaptability need to be *** at the shortcomings of the traditional fuzzy control that due to the lack of integral part,so the system lack of steady state precision,the single model ABS system model is established in MATLAB/Simulink,and the adaptive fuzzy PID controller is designed by the improved *** different road spectrum,in different speed conditions,then analysis of ABS control parameters of real-time multi-objective optimization of the braking *** results show that the responses speed of the system is 60% higher than that the traditional fuzzy control,and the steady-state precision and robustness are also improved obviously.
In reality,perishable products also contain defective ones before storage due to uncertainties during production *** order to reduce the loss caused by the defective products,an inspection process is implemented by **...
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In reality,perishable products also contain defective ones before storage due to uncertainties during production *** order to reduce the loss caused by the defective products,an inspection process is implemented by *** view of the above,a retailer's deteriorating inventory model with defective items is established in this *** GA and PSO are used to figure out the model respectively and the usefulness of the intelligent algorithm is confirmed by comparing the outcomes of the two algorithms.
In order to o ercome the shortcomings of artificial bee colony algorithm including slow convergence speed,easily falling into local optimum value, neglect of development and other issues, Mechanism of other bionic int...
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In order to o ercome the shortcomings of artificial bee colony algorithm including slow convergence speed,easily falling into local optimum value, neglect of development and other issues, Mechanism of other bionic intelligent optimization algorithms, A new algorithm of Global Artificial Bee Colony algorithm based on crossover which can effectively improve the convergence rate, enhance the development of the algorithm and the global optimization ability is proposed, and the algorithm can effectively avoid the local optimum. Finally, the Seven standard test functions are selected to carry out the experiment and simulation. The results show that the convergence speed and accuracy of the pro posed algorithm（CGABC） are significantly improved compa red with other algorithms such as ABC algorithm, GABC algorithm and so on.
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