A three-dimensional neural network model for unconstrained handwritten numeral recognition: a new approach

1998 ◽  
Vol 31 (5) ◽  
pp. 511-516 ◽  
Author(s):  
N.V Subba Reddy ◽  
P Nagabhushan
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Three Dimensional ◽  
New Approach ◽  
Handwritten Numeral Recognition ◽  
Numeral Recognition

New approach to global alignment in IC manufacturing based on a neural network model

1997 ◽  
Author(s):  
Amir Aalam Ghazanfarian ◽  
Roger Fabian W. Pease ◽  
Xun Chen ◽  
Mark A. McCord
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Global Alignment ◽  
New Approach ◽  
Ic Manufacturing

scholarly journals A neural network model of three-dimensional dynamic electron density in the inner magnetosphere

2017 ◽  
Vol 122 (9) ◽  
pp. 9183-9197 ◽  
Author(s):  
X. Chu ◽  
J. Bortnik ◽  
W. Li ◽  
Q. Ma ◽  
R. Denton ◽  
...  
Keyword(s):  
Neural Network ◽  
Electron Density ◽  
Network Model ◽  
Neural Network Model ◽  
Three Dimensional ◽  
Inner Magnetosphere

A new approach to predict ulcerative colitis activity through standard clinical–biological parameters using a robust neural network model

2021 ◽  
Author(s):  
Iolanda V. Popa ◽  
Alexandru Burlacu ◽  
Otilia Gavrilescu ◽  
Mihaela Dranga ◽  
Cristina Cijevschi Prelipcean ◽  
...  
Keyword(s):  
Neural Network ◽  
Ulcerative Colitis ◽  
Network Model ◽  
Neural Network Model ◽  
Biological Parameters ◽  
New Approach

A Neural Network Model for Simulating Cloth Texture Deformation

2012 ◽  
Vol 157-158 ◽  
pp. 1608-1613
Author(s):  
Zhi Hong Zhao
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Three Dimensional ◽  
Experimental Results ◽  
Curved Surface ◽  
Topological Structures ◽  
The Relationship ◽  
Smooth Texture

This study describes a method to simulate cloth texture deformation using a neural network model. The cloth texture may be represented by its texture colors, positions and its topological structures. In addition, the relationship between the texture colors can be deduced based on the smooth texture and the two and three dimensional texture deformation are correspondingly concerned. A multilayered single direction neural network model is adopted to numerically represent the cloth texture for the purpose of speeding up the simulation. The color values of the points on the cloth deformed curved surface can be calculated with such neural network model. The experimental results show that such method is efficient and executable for the regularized texture deformation.

A Neural Network Model for the Acquisition of a Spatial Body Scheme Through Sensorimotor Interaction

2011 ◽  
Vol 23 (7) ◽  
pp. 1821-1834 ◽  
Author(s):  
Vadim Y. Roschin ◽  
Alexander A. Frolov ◽  
Yves Burnod ◽  
Marc A. Maier
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Degrees Of Freedom ◽  
Three Dimensional ◽  
Internal Representation ◽  
Spherical Body ◽  
The Body ◽  
Body Scheme ◽  
Sensorimotor Interaction

This letter presents a novel unsupervised sensory matching learning technique for the development of an internal representation of three-dimensional information. The representation is invariant with respect to the sensory modalities involved. Acquisition of the internal representation is demonstrated with a neural network model of a sensorimotor system of a simple model creature, consisting of a tactile-sensitive body and a multiple-degrees-of-freedom arm with proprioceptive sensitivity. Acquisition of the 3D representation as well as a distributed representation of the body scheme, occurs through sensorimotor interactions (i.e., the sensory-motor experience of the creature). Convergence of the learning is demonstrated through computer simulations for the model creature with a 7-DoF arm and a spherical body covered by 20 tactile fields.

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