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RETRACTED ARTICLE: Minimization of test time in system on chip using artificial intelligence-based test scheduling techniques
G Chandrasekaran, S Periyasamy… - Neural Computing and …, 2020 - Springer
Abstract System on chip (SoC) is a microchip which integrates many semiconductor devices
into a single chip. The complete system that is integrated with many components and circuits …
into a single chip. The complete system that is integrated with many components and circuits …
Proposal of a declarative and parallelizable artificial neural network using the notification-oriented paradigm
Since the 1960s, artificial neural networks (ANNs) have been implemented and applied in
various areas of knowledge. Most of these implementations had their development guided …
various areas of knowledge. Most of these implementations had their development guided …
Weights and structure determination of multiple-input feed-forward neural network activated by Chebyshev polynomials of Class 2 via cross-validation
Differing from conventional improvements on backpropagation (BP) neural network, a novel
neural network is proposed and investigated in this paper to overcome the BP neural …
neural network is proposed and investigated in this paper to overcome the BP neural …
Effect of multi-hidden-layer structure on performance of BP neural network: Probe
As a multi-layer forwarding network, the back propagation neural network (BPNN) with
manifold derived structures has been most widely used in artificial intelligence applications …
manifold derived structures has been most widely used in artificial intelligence applications …
Research on bridge crack detection with neural network based image processing methods
J Peng, S Zhang, D Peng… - 2018 12th International …, 2018 - ieeexplore.ieee.org
In bridge health monitoring, the detection and localization of surface defects are highly
important for health condition evaluation. Due to the limitation of manual detection, it is …
important for health condition evaluation. Due to the limitation of manual detection, it is …
Seismic signal recognition using improved BP neural network and combined feature extraction method
Z Peng, C Cao, J Huang, Q Liu - Journal of central south university, 2014 - Springer
Seismic signal is generally employed in moving target monitoring due to its robust
characteristic. A recognition method for vehicle and personnel with seismic signal sensing …
characteristic. A recognition method for vehicle and personnel with seismic signal sensing …
Generalized Tagaki-Sugeno fuzzy rules based prediction model with application to power plant pulverizing system
H Cao, Y Wang, L Jia, G Si… - 52nd IEEE Conference on …, 2013 - ieeexplore.ieee.org
This paper proposes a generalized Tagaki-Sugeno (TS) fuzzy rules based prediction model
and apply it to estimate the pulverizing capability of ball mill pulverizing system of thermal …
and apply it to estimate the pulverizing capability of ball mill pulverizing system of thermal …
[PDF][PDF] 基于 BP 神经网络的光子计数激光雷达点云滤波
于士澳, 孔伟, 马汝佳, 黄庚华 - Laser & Optoelectronics …, 2024 - researching.cn
摘要随着高灵敏探测技术的不断发展, 单光子量级的测量灵敏度成为了可能,
结合高精度的计时技术, 基于时间相关单光子计数的激光雷达应运而生, 其能够大幅提高测量的 …
结合高精度的计时技术, 基于时间相关单光子计数的激光雷达应运而生, 其能够大幅提高测量的 …
Nonlinear prediction model for ventilation of ball mill pulverizing system
Y Yuan, Y Zhang, H Cao, G Si… - 2016 35th Chinese …, 2016 - ieeexplore.ieee.org
Ventilation is an important parameter affecting the quality and the efficiency of ball mill
pulverizing system. This paper proposed a nonlinear prediction model for ventilation. The …
pulverizing system. This paper proposed a nonlinear prediction model for ventilation. The …
Improved Clonal Selection Algorithm Optimizing Neural Network for Solving Terminal Anti-missile Collaborative Intercepting Assistant Decision-Making Model
J **ao, W Li, X **ao, C Lv - … , Tools and Applications for Modeling and …, 2016 - Springer
Programming terminal high-low collaborative intercepting strategy scientifically and
constructing assistant decision-making model with self-determination and intellectualization …
constructing assistant decision-making model with self-determination and intellectualization …