Neural Information Processing
... Neocognitron Hayaru Shouno Yamaguchi University, Tokiwadai 2-16-1, Ube, Japan shouno@yamaguchi-u.ac.jp Abstract. Neocognitron, which was proposed by Fukushima ... Neocognitron Introduction Summary of Neocognitron Network Architecture.
Proceedings of the Winter, 1990, International Joint Conference on Neural Networks
... neocognitron systems are analogous to the human visual system. Each of them has capabilities and limitations. It is ... neocognitron system as the basic structure. It incorporates ART to add on-line learning capability and back ...
The Handbook of Brain Theory and Neural Networks
... neocognitron . The neocognitron is a hierarchical network consisting of many layers of neuron - like cells . There are forward connections between cells in adjoining layers . Some of these connections are variable and can be modified by ...
IJCNN-90-WASH DC, International Joint Conference on Neural Networks, January 15-19, 1990, Omni Shoreham Hotel, Washington, DC
... neocognitron systems are analogous to the human visual system . Each of them has capabilities and limitations . It ... neocognitron system as the basic structure . It incorporates ART to add on - line learning capability and back ...
1991 IEEE International Joint Conference on Neural Networks
... neocognitron is presented . The goal is that the system parameters of a neocognitron can be ' programmed ' rather than through laborious training . The tool we use is the attribute graph theory . Using a set of attribute graphs ...
ANZIIS 94
... neocognitron , on a SIMD paral- lel machine . The neocognitron is a network with a heavy cell load and intricate inter- connections among its neurons or cells . Its structure is qualitatively similar to the mam- maliam visual system and ...
IJCNN, International Joint Conference on Neural Networks
... Neocognitron is demonstrated by computer simulation . We suggest that the mechanism proposed in this paper is a plausible model for child cognitive development and useful for visual pattern recognition . Introduction The Neocognitron is ...
Architectures, Languages, and Algorithms
... neocognitron and perceptron models . A brief description of a layered network model is considered now . The neocognitron model , developed by Fukushima [ 5 ] , is a pattern recognition system modeled after the visual nervous system ...
Progress in Connectionist-based Information Systems
... neocognitron is constructed by extend- ing the neocognitron which can recognize translated , scaled and / or distorted patterns from training ones . In construct- ing the model two technical methods during the learning , a " threshold ...
10th International Conference on Pattern Recognition
... Neocognitron with Various Structures , including Pyramid Figure 1 : The structure of the neocognitron 918 case 5 Shift in X - direction ( × 01. T. Yamaguchi Institute for Image Processing and Computer Graphics Wastiangasse 6 , A - 8010 ...
1991 IEEE International Conference on Systems, Man, and Cybernetics
... neocognitron fault tolerant ability during its learning phase and post - learning phase performance . The result of this study shows that the neocognitron will , to a certain extent , tolerate faults in its post - learning performance ...
NeuralSource
Derived from the database Neural Base (still available at $495.00), this bibliography, covering more than 4,000 references, is an important collection of research information. Extensive annotations have been added to approximately 75% of the entries...
Journal of Neural Network Computing
... neocognitron The neocognitron , developed by Kunihiko Fukushima , is an outgrowth of about 20 years of work on the problem of biologically based methods for pattern recognition . Like the boundary contour system , the neocognitron is ...
Applications of Artificial Neural Networks
... Neocognitron Layer # 1 Feature Planes Neocognitron Layer # 2. : ART - 2A Classifier Decision Output Feature Vector Figure 2. Baseline object recognition architecture . Small features extracted by the first Neocognitron layer are stored ...
ANZIIS ...
... neocognitron , on a SIMD paral- lel machine . The neocognitron is a network with a heavy cell load and intricate inter- connections among its neurons or cells . Its structure is qualitatively similar to the mam- maliam visual system and ...
1991 International Symposium on VLSI Technology, Systems and Applications
... neocognitron . The following describes simulation of a neocognitron in which the inner products are computed using IFE devices . 2 = KA - 1 σι + ΣΣ Σα , ( k , κ , i , j ) • Ca - 1 ( x , m + i −1 , n + j − 1 ) στ + 1+ b2 ( k ) v ( m ...
Expanded Abstracts with Biographies
... Neocognitron for seismic pattern recognition Neocognitron for seismic pattern. SUMMARY This paper presents the design of an artificial neural network , called a " neocognitron " , for seismic pattern recognition . The neocognitron was ...
Neural and Stochastic Methods in Image and Signal Processing
The Neocognitron's shift invariant and distortion invariant properties were investigated in our computer simulation experiment . Each input image has 128 by 128 pixels and 256 gray levels . The gray level input images are directly ...
Parallel Processing in Neural Systems and Computers
... neocognitron recognizes input patterns correctly even if they are shifted , changed in size , or deformed . Even though the input patterns have some parts missing or are contaminated by noise , the neocognitron recognizes them correctly ...
On the Application of Feedforward Neural Networks
... neocognitron , we say the neocognitron has classified the pattern as letter a if Vẞ ∈ { A , ... , Z } such that ẞ ≠ a we have yo Υβ . Α typical neocognitron contains tens of thousands of nodes . After the it has been trained to ...