This survey reviews the current state of personalized voice assistant systems that utilize natural language processing, speech recognition, and AI techniques. It examines methodologies for developing intelligent assis...
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This paper introduces the method of computer graphics editing on NET platform. Several aspects of computer graphics generation, such as accompanying files, graphics processing and network interactive control, are stud...
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ISBN:
(纸本)9798350386783;9798350386776
This paper introduces the method of computer graphics editing on NET platform. Several aspects of computer graphics generation, such as accompanying files, graphics processing and network interactive control, are studied. Through the secondary development of Arbortext Isoview, the intelligent hierarchical display, object management, event processing and animation generation based on Arbortext Isoview are completed. It can control and interact with CGM illustration in the network environment. At the same time, the mathematical model of illustration graph is established by using operator and clustering optimal gene algorithm. Firstly, hybridization and mutation probabilities were dynamically regulated according to population characteristics, thus improving the optimization speed in the evolutionary process. K-medoids method was used to cluster them. The cost function is used to evaluate the advantages and disadvantages of the cluster. An arbitrary graph rendering method based on genetic algorithm is proposed. The experimental results show that this method is more artistic and creative in illustration art design.
Cities all around the world have recently begun to build contemporary smart city infrastructure, which is typically only possible with the usage of cutting-edge *** smart city environments are made possible by intelli...
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Traffic congestion poses a significant challenge in urban areas, and deep reinforcement learning (DRL) offers an encouraging method for traffic signal control. We evaluate the DQN algorithm, with PQAS (Pressure, Queue...
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The creation and application of an intelligent vending machine with cutting-edge features for user convenience, medication dispensing, and sanitary pad dispensing ***, LCD display, keypad, RFIDtechnology, DC motor for...
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The Ant Colony Algorithm (ACA) has been widely applied in the path planning research of intelligent connected vehicles due to its advantages, such as positive feedback and heuristic search. However, the classic ACA ha...
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This study focuses on the Bosiklong F car model, designing and manufacturing an intelligent car specifically for dynamic performance testing on an electromagnetic track. To achieve precise control, an integrated elect...
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With the advancements in IoT technology, cloud computing, and big data technology, smart living has become an integral part of people's lives. However, traditional intelligent data computing relies heavily on clou...
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Crop output can be greatly enhanced by using greenhouses, and efficient environmental management techniques are necessary to achieve this goal. The greenhouse environment, being a multifactor, highly linked, nonlinear...
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A method which is controlling of single arm robot is proposed that accorded to RBF neural network *** neural network,who is named radial basis function, that has input layer, hidden layer,output layer,and it is a feed...
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ISBN:
(纸本)9798350386783;9798350386776
A method which is controlling of single arm robot is proposed that accorded to RBF neural network *** neural network,who is named radial basis function, that has input layer, hidden layer,output layer,and it is a feedforward layer who has a single hidden layer. It is nonlinear that the input set mapped to the output set, but it is linear that the hidden layer space mapped to the output space. Because the RBF network whose action function is Gaussian basis function, its output is related to some modulation parameters. In the input space who is limited, it is not zero, and it is a neural network method who has local approximation. Therefore, RBF network can learn quickly and avoid local minimal problems, and the real-time requirements of control can be satisfy. Through establishing the Simulink control system simulation of the relevant model and the discrete digital simulation of M fuction, the control method which used RBF neural network model is very accurate and real-time, and the control effect is very good.
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