A dynamic neural network architecture based on the Time-Delay Neural Network and the Convolutional Neural Network is originated. The dynamic network achieves much better performance than those of MLP and TDNN when dealing with syllable recognition. Such performance is also comparable to that of the more popular HMM method.

the paper deals with data envelopment analysis (dea) and artificial neural network (ann). we believe that solving for the dea efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. in this paper, a new neural network model is used to estimate the inefficiency of dmus in large datasets.

Learning to recognize a new object after having learned other objects may be simple task for human, but not machines. The present go-to approaches teaching machine set of are based on the use deep neural networks (DNN). So, intuitively, solution fly should DNN. problem is that trained DNN weights used classify initial extremely fragile, meaning any change those can severely damage capacity perf...

Lihe Xi 1, Xin Zhang 1,*, Chuanyang Sun 1, Zexing Wang 2, Xiaosen Hou1 and Jibao Zhang 1 1 Beijing Key Laboratory of Powertrain for New Energy Vehicle, Beijing Jiaotong University, Beijing 100044, China; [email protected] (L.X.); [email protected] (C.S.); [email protected] (X.H.); [email protected] (J.Z.) 2 Beijing Electric Vehicle Co. LTD., Beijing 102606, China; [email protected]....

We present the design-scheme and physical implementation for a Dynamic Adaptive Neural Network Array (DANNA) based upon the work by Schuman and Birdwell [1,2] and using a programmable array of elements constructed with a Field Programmable Gate Array (FPGA). The aim of this paper is to demonstrate how a single programmable neuromorphic element can be designed to support the primary components o...

accurate permeability estimation has always been a concern in determining flow units, assigning appropriate capillary pressure andrelative permeability curves to reservoir rock types, geological modeling, and dynamic simulation.acoustic method can be used as analternative and effective tool for permeability determination. in this study, a four-step approach is proposed for permeability estimati...

The hardware implementation of convolutional neural network has the problem resource limitation, which can be solved by design accelerator based on FPGA dynamic reconstruction. whole parallel strategy and architecture CNN are designed, functional modules designed pipeline. reconstruction technology is used to redesign accelerator, region division established; BPI flash selected store configurat...