Loading...
Please wait, while we are loading the content...
Similar Documents
Cresceptron : A Self-organizing Neural Network Which Grows Adaptively
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mathews, Nithin |
| Copyright Year | 1992 |
| Abstract | Cresceptron represents a new approach t o neural networks. It uses a hierarchical f m m e w o r k t o grow neural networks automatically, adaptively and incrementally through learning. A t every level of the hierarchy, new concepts are detected automatically and the network grows by creating new neurons and synapses which memorize the new concepts and their context. The training samples are generalized t o other perceptually equivalent i t ems through hierarchical tolerance of deviation. The neural network recognizes the learned i tems and their variations by hierarchically associating the learned knowledge with the input . I t segments the recognized i tems f r o m the input through back tracking along the response paths. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://vision.ai.illinois.edu/publications/cresceptron_1992.pdf |
| Alternate Webpage(s) | http://vision.ai.uiuc.edu/publications/cresceptron_1992.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Artificial intelligence Artificial neural network Backtracking Biological Neural Networks DSPACE Experiment Intelligent agent Neural Network Simulation Organizing (structure) Self-organization Synapses negative regulation of endoplasmic reticulum tubular network organization |
| Content Type | Text |
| Resource Type | Article |
