Titlebook: Engineering Applications of Neural Networks; 14th International C Lazaros Iliadis,Harris Papadopoulos,Chrisina Jayne Conference proceedings

dentin

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

COLON

彎曲的人

MPEG-4 Internet Traffic Estimation Using Recurrent CGPANNblem. From simple online video streaming to the sophisticated communication network underlying a Smart Grid, efficient management of bandwidth is always desired. One way to achieve such efficiency lies in the science of predication: an intelligent system can be deployed that can estimate the sizes o

喧鬧

吸氣

COST

Neural Network Simulation of Photosynthetic Productione delay. The optimal control problem is transcribed into nonlinear programming problem which is implemented with adaptive critic neural network. The proposed simulation methods is illustrated by the optimal control problem of photosynthetic production described by discrete time delay differential eq

COST

Muscularis

Thinking Machines versus Thinking Organisms super-Turing machines that implement them. Using these results, in this paper, at mathematical level of rigor, the phenomena of life and thinking are defined and perspectives of their artificial reproduction are considered. It is demonstrated that machines built of inorganic raw materials can never

jungle

Catheter

Prediction of Foreign Currency Exchange Rates Using CGPANN exchange rates. The end product of our work is an efficient Artificial Neural Network (ANN) based prediction model that forecasts the foreign currency exchange rates, making use of the trends in historical data. These trends in the historical currency data serve as significant prognostic factor to