A Neural Network Approach For Real-Time Evaluation Of Sandstone Reservoir Strength

Mapping Intimacies ◽

10.2118/130047-ms ◽

2010 ◽

Author(s):

Hamed Soroush ◽

Behzad Tokhmechi

Keyword(s):

Neural Network ◽

Real Time ◽

Network Approach ◽

Neural Network Approach ◽

Sandstone Reservoir ◽

Time Evaluation

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Two Dimensional Convolutional Neural Network Approach for Real-Time Bangla Sign Language Characters Recognition and Translation

SN Computer Science ◽

10.1007/s42979-021-00783-6 ◽

2021 ◽

Vol 2 (5) ◽

Author(s):

Md. Shahinur Alam ◽

Mahib Tanvir ◽

Dip Kumar Saha ◽

Sajal K. Das

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Real Time ◽

Sign Language ◽

Two Dimensional ◽

Network Approach ◽

Neural Network Approach

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Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control

Journal of Intelligent & Robotic Systems ◽

10.1007/s10846-007-9180-7 ◽

2007 ◽

Vol 51 (1) ◽

pp. 45-63 ◽

Author(s):

Boštjan Potočnik ◽

Gašper Mušič ◽

Igor Škrjanc ◽

Borut Zupančič

Keyword(s):

Neural Network ◽

Real Time ◽

Hybrid Systems ◽

Predictive Control ◽

Probabilistic Neural Network ◽

Network Approach ◽

Real Time Control ◽

Neural Network Approach ◽

Model Based ◽

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A Neural Network Approach to Real-Time Discrete Tomography

Lecture Notes in Computer Science - Combinatorial Image Analysis ◽

10.1007/11774938_31 ◽

2006 ◽

pp. 389-403 ◽

Author(s):

K. J. Batenburg ◽

W. A. Kosters

Keyword(s):

Neural Network ◽

Real Time ◽

Network Approach ◽

Discrete Tomography ◽

Neural Network Approach

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Deep Neural Network Approach in Electrical Impedance Tomography-based Real-time Soft Tactile Sensor

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros40897.2019.8968532 ◽

2019 ◽

Author(s):

Hyunkyu Park ◽

Hyosang Lee ◽

Kyungseo Park ◽

Sangwoo Mo ◽

Jung Kim

Keyword(s):

Neural Network ◽

Real Time ◽

Electrical Impedance Tomography ◽

Deep Neural Network ◽

Electrical Impedance ◽

Tactile Sensor ◽

Network Approach ◽

Impedance Tomography ◽

Neural Network Approach

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A quadtree based neural network approach to real-time path planning

2007 IEEE International Conference on Robotics and Biomimetics (ROBIO) ◽

10.1109/robio.2007.4522360 ◽

2007 ◽

Author(s):

Yangming Li ◽

Max Q.-H. Meng ◽

Shuai Li ◽

Wanming Chen ◽

Zhuhong You ◽

...

Keyword(s):

Neural Network ◽

Path Planning ◽

Real Time ◽

Network Approach ◽

Neural Network Approach ◽

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Synthesis of Real-Time Control Systems for Multilink Industrial Robots Based on Hybrid Neural Network Approach of Solution Inverse Kinematics Problem

DAAAM Proceedings - Proceedings of the 30th International DAAAM Symposium 2019 ◽

10.2507/30th.daaam.proceedings.069 ◽

2019 ◽

pp. 0513-0517

Author(s):

Pavel Ganin ◽

Alexandr Kobrin ◽

Denis Shilin ◽

Valery Moskvin ◽

Dmitrii Shestov

Keyword(s):

Neural Network ◽

Real Time ◽

Inverse Kinematics ◽

Industrial Robots ◽

Network Approach ◽

Real Time Control ◽

Neural Network Approach ◽

Hybrid Neural Network ◽

Time Control ◽

Inverse Kinematics Problem

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Real-Time Prediction of Water Stage with Artificial Neural Network Approach

Lecture Notes in Computer Science - AI 2002: Advances in Artificial Intelligence ◽

10.1007/3-540-36187-1_64 ◽

2002 ◽

pp. 715-715 ◽

Author(s):

K. W. Chau ◽

C. T. Cheng

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Real Time ◽

Network Approach ◽

Neural Network Approach ◽

Time Prediction ◽

Water Stage ◽

Artificial Neural ◽

Artificial Neural Network Approach

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Neural network approach to real-time network intrusion detection and recognition

Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems ◽

10.1109/idaacs.2011.6072781 ◽

2011 ◽

Author(s):

Pavel Kachurka ◽

Vladimir Golovko

Keyword(s):

Neural Network ◽

Intrusion Detection ◽

Real Time ◽

Network Intrusion Detection ◽

Network Approach ◽

Neural Network Approach ◽

Network Intrusion ◽

Detection And Recognition

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A neural network approach to real-time collision-free navigation of 3-DOF robots in 2D

Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C) ◽

10.1109/robot.1999.769911 ◽

2003 ◽

Author(s):

Xianyi Yang ◽

M. Meng

Keyword(s):

Neural Network ◽

Real Time ◽

Network Approach ◽

Neural Network Approach

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A NEURAL NETWORK APPROACH TO REAL-TIME PATTERN RECOGNITION

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001401001246 ◽

2001 ◽

Vol 15 (06) ◽

pp. 937-947 ◽

Author(s):

JINWEN MA

Keyword(s):

Neural Network ◽

Pattern Recognition ◽

Real Time ◽

Error Probability ◽

Time Constraints ◽

Network Approach ◽

Noisy Environment ◽

Neural Network Approach ◽

Time Pattern ◽

Perceptive Field

This paper presents a new neural network approach to real-time pattern recognition on a given set of binary (or bipolar) sample patterns. The perceptive neuron of a binary pattern is defined and constructed as a binary neuron with a neighborhood perceptive field. Letting its hidden units be the respective perceptive neurons of the patterns, a three-layer forward neural network is constructed to recognize these patterns with minimum error probability in a noisy environment. The theoretical and simulation analyses show that the network is effective for pattern recognition and can be under strict real-time constraints.

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