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

Insularity

書目名稱Engineering Applications of Neural Networks影響因子(影響力)




書目名稱Engineering Applications of Neural Networks影響因子(影響力)學(xué)科排名




書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度




書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Engineering Applications of Neural Networks被引頻次




書目名稱Engineering Applications of Neural Networks被引頻次學(xué)科排名




書目名稱Engineering Applications of Neural Networks年度引用




書目名稱Engineering Applications of Neural Networks年度引用學(xué)科排名




書目名稱Engineering Applications of Neural Networks讀者反饋




書目名稱Engineering Applications of Neural Networks讀者反饋學(xué)科排名

brassy

恃強(qiáng)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

譏諷