However, most of the QNNs models currently proposed are discussed on the level of mathematical calculations, and there are problems such as unclear physical feasibility, not following the evolution of quantum effects, and not having the characteristics of neural network computing. As a result, the...
FL Malallah,WABW Adnan,S Bin Yussof - 《International Journal of Computer Applications》 被引量: 5发表: 2014年 NON-INVERTIBLE ONLINE SIGNATURE BIOMETRIC TEMPLATE PROTECTION VIA SHUFFLING AND TRIGONOMETRY TRANSFORMATION UNIVERSITI PUTRA MALAYSIA NON-INVERTIBLE ONLINE SIGNATURE BIOMETRIC TEMPLATE PROTECTION VIA...
clear all % Solve an Autoregression Problem with External Input with a NARX Neural Network % Script generated by Neural Time Series app % Created Thu Jun 08 14:20:08 CST 2017 % % This script assumes the 分享81 期刊征稿吧 iasrs 《NEUROCOMPUTING》简介期刊名称:NEUROCOMPUTING 研究方向:工程技术-...
Neural Net Computing for Image Processing Artificial neural networks are an attempt to emulate the processing capabilities of biological neural systems. The basic idea is to realize systems capable... Anke Meyer-Bse - 《Computer Vision & Applications》 被引量: 3发表: 2000年 Comparison of pattern-...
In this research, we propose cellular neural networks using mixture template as an example of space-varying cellular neural networks. As the first step of the investigation of such complex nonlinear circuit networks, we propose two mixing methods of the templates and investigate the output ...
Activity in sub-regions of the supplementary motor area (SMA)/anterior cingulate cortex (ACC), the middle frontal gyri (MFG), frontal pole (FP), and ventral striatum (VS) have been implicated in computing value and motivating the exertion of effort4,5,7,26,27,28,29,30,31,32. Evidence...
摘要:We describe how to formulate matching and combinatorial problems of vision and neural network theory by generalizing elastic and deformable templates models to include binary matching elements. Techniques from statistical physics, which can be interpreted as computing marginal probability distributions, ...
Music exists in almost every society, has universal acoustic features, and is processed by distinct neural circuits in humans even with no experience of musical training. However, it remains unclear how these innate characteristics emerge and what functi
A major drawback of the similarity measure used in KNN is that it uses all features equally in computing similarities. This can lead to poor similarity measures and classification errors, when only a small subset of the features is useful for classification. Li et al.105 successfully used an ...
The main challenge is to have a simple and memory-efficient calculation to achieve the highest possible GPU computing performance. Therefore, we derive a simple formula of the second-order derivatives tailored to ReLU-based MLPs, which enables an efficient CUDA implementation with a small memory ...