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91 results about "Network migration" patented technology

Deep transfer learning method of domain adaptive network

InactiveCN107958286AGuaranteed the effect of transfer learningGuaranteed reliabilityNeural learning methodsA domainDependability
The present invention provides a deep migration learning method for a domain-adaptive network. According to the distribution difference corresponding to each task-related layer, classification error rate and mismatch degree, the value of the loss function of the domain-adaptive network is determined, wherein any The distribution difference corresponding to the task-related layer is the distribution difference between the probability distribution of the features in any task-related layer corresponding to the source domain and the target domain respectively; and based on the value of the loss function, the parameters of the domain adaptive network are updated to Adapting the domain-adaptive network to the target domain; thereby taking the distribution difference between the probability distributions of the features in each task-related layer corresponding to the source domain and the target domain respectively as an integral part of the value of the loss function of the domain-adaptive network, Each task-related layer of the deep network is matched in different fields at the same time, and the difference between the marginal distribution and the conditional distribution in different fields is better corrected, which ensures the reliability of transfer learning and finally ensures the effect of domain-adaptive network transfer learning. .
Owner:TSINGHUA UNIV

A neural network migration method based on shallow learning

ActiveCN109558942ASimple structureSolve the problem that the migration effect fluctuates and even backfiresNeural architecturesNeural learning methodsData setNeural network learning
The invention discloses a neural network migration method based on shallow learning, and the method comprises the steps: 1 carrying out the classification and division of a target task data set, carrying out the marking of the target task data set, and storing the marking data as the training data x0 of a shallow neural network; 2 inputting x0 to a shallow neural network, training layer by layer to obtain a pre-trained shallow neural network model, and outputting data x2 after x0 passes through the pre-trained neural network model; and 3 taking the obtained output data x2 of the pre-trained shallow neural network model as the input of the deep neural network model of the target task, training the whole deep network by using the marked data of the target task, and carrying out fine tuning on the whole network parameters to complete neural network migration. According to the method, the shallow neural network learning model trained layer by layer is used as a basic model of task migration, so that the migration task is simple and efficient, the expansibility is high, and the problem that the migration effect of the traditional end-to-end deep neural network is uncertain in fluctuation and even appropriate for reversibility is solved.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Video content management method based on semantic hidden indexing

The invention discloses a video content management method based on semantic hidden indexing, which ensures that a semantic space table (SST) and video data coexist all the time in the network migration and transmission process by defining the SST and performing integrated semantic indexing on the SST and the video data by an information hiding method. For a video application system (such as an intelligent play and download agent system, a video classification management system, a network management and control system and the like), the SST of the video data is extracted to be subjected to comparative calculation with a semantic request table (SRT) at a destination end, so that the calculation result can help the system to decide a specific processing mode of the video data. The semantic information of the hidden indexing is hard to erase or falsify, so that the semantic information loss of the video data in the secondary transmission process is prevented; and the content video data can be effectively unified and correlated, so that the redundant transmission of data is reduced, and the utilization efficiency of the network is greatly improved. Meanwhile, the video search engine and the other video application systems can be helped to better perform the selection, rejection, abandonment and other operations on the video data, so that the video data in the network space can be transmitted orderly, and the video can be found more efficiently and quickly.
Owner:SOUTHWEAT UNIV OF SCI & TECH

Plant disease and insect pest identification method based on sparse network migration

The invention discloses a plant disease and insect pest identification method based on sparse network migration, and belongs to the technical field of intelligent agricultural disease and insect pestidentification. The method comprises the following steps: designing a pruning algorithm, iteratively traversing a network, freezing redundant parameters in a source domain network, and generating a retrained optimal sparse sub-network structure; employing deep migration learning, migrating the sparse network to a target domain, proposing a sparse network migration hypothesis, verifying the feasibility of the sparse network, exploring the potential association between a target task and existing knowledge, and initializing the network through the weight of a source domain, and achieving the knowledge migration and reuse on the target domain; finally, finely adjusting the sub-network by using a small number of samples of the target domain data, optimizing the network performance, and finishing the task migration, thereby solving the practical application problem. Plant diseases and insect pests can be recognized, the network detection precision is improved through sparse migration, and meanwhile, the problems that a traditional deep method needs to train a dense network, calculation expenditure is large, the requirement for hardware is high, and popularization is not facilitated are solved.
Owner:DALIAN UNIV OF TECH

Automatic configuration migration system and method based on SDN (Software Defined Network)

InactiveCN105553746ASimple configuration migration methodAutomate migrationNetworks interconnectionSoftware engineeringVirtual switch
The invention discloses an automatic configuration migration system and method based on an SDN (Software Defined Network). The system comprises a plurality of virtual machines, a plurality of virtual switches and an SDN controller, wherein the virtual machines are connected with the virtual switches, and the plurality of virtual switches are all connected with the SDN controller. The method comprises the following steps: S1, connecting the SDN controller with the virtual switches successfully; S2, connecting the virtual machines to the virtual switches; S3, owning, by the SDN controller, configuration information of all the virtual switches in the whole network; S4, migrating the virtual machines on line; S5, sensing the migration of the virtual machines and reporting the migration to the SDN controller by new virtual switches; S6, transmitting, by the SDN controller, the corresponding configuration to the new virtual switches; S7, sending, by the SDN controller, a message to delete the configuration of the old virtual switches; and S8, accomplishing automatic configuration migration of the virtual switches. The system and the method have the advantages that the operation is simple and efficient, the reliability is good, the performance is excellent and automatic network migration is realized.
Owner:GUANGZHOU VCMY TECH CO LTD
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