RETRACTED ARTICLE: Minimization of test time in system on chip using artificial intelligence-based test scheduling techniques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 …

Proposal of a declarative and parallelizable artificial neural network using the notification-oriented paradigm

F Schütz, JA Fabro, AF Ronszcka, PC Stadzisz… - Neural Computing and …, 2018 - Springer
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 …

Weights and structure determination of multiple-input feed-forward neural network activated by Chebyshev polynomials of Class 2 via cross-validation

Y Zhang, X Yu, D Guo, Y Yin, Z Zhang - Neural Computing and …, 2014 - Springer
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 …

Effect of multi-hidden-layer structure on performance of BP neural network: Probe

K Chen, S Yang, C Batur - 2012 8th International Conference …, 2012 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

[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 …

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 …

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 …