Titlebook: Engineering Applications of Neural Networks; 17th International C Chrisina Jayne,Lazaros Iliadis Conference proceedings 2016 Springer Inter

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书目名称Engineering Applications of Neural Networks影响因子(影响力)




书目名称Engineering Applications of Neural Networks影响因子(影响力)学科排名




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书目名称Engineering Applications of Neural Networks网络公开度学科排名




书目名称Engineering Applications of Neural Networks被引频次




书目名称Engineering Applications of Neural Networks被引频次学科排名




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书目名称Engineering Applications of Neural Networks年度引用学科排名




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书目名称Engineering Applications of Neural Networks读者反馈学科排名

brassy

恃强凌弱的人

dragon

escalate

Deep Active Learning for Autonomous Navigationolutional neural network. A trained agent can then predict an action to perform based on the scene it finds itself in. This method is generic, and the network is trained without knowledge of the task, targets or environment in which it is acting. Another common challenge in imitation learning is gen

accomplishment

2D Recurrent Neural Networks for Robust Visual Tracking of Non-Rigid Bodiescution times and excellent accuracy for the considered tracking task. The effectiveness of the proposed approach is demonstrated on a very challenging set of dynamic image sequences, extracted from the final of triple jump at the London 2012 Summer Olympics. The system shows remarkable performance i

accomplishment

EEG-Based Condition Clustering using Self-Organising Neural Network Map (SOM) with Learning Vector Quantization (LVQ) for EEG Eyes Open (EO) and Eyes Closed (EC) condition classification. This was achieved with classification accuracy of 88.5 %. The proposed approach shows good performance and hence the method can be readily applied to other classification/clustering p

吞噬

A Multi-commodity Network Flow Model for Cloud Service Environmentser by the alternating direction method of multipliers (ADMM) algorithm. Numerical evaluation of the proposed model is carried out in the context of specific deployments of a situation-aware information infrastructure.

中古

Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance

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