What is recorded here?
Rosenblatt proposed a trainable pattern-recognition model connecting weighted responses, experience and classification.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The 1958 model is a foundational research proposal with restricted representational power. It is not a modern deep network or a demonstration of general intelligence.
Read the original work
- The perceptron: A probabilistic model for information storage and organization in the brain.
- The perceptron: A probabilistic model for information storage and organization in the brain. — deposited bibliography
- Cornell account of Rosenblatt and the perceptron
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
F. Rosenblatt
Source paper byline retained, including repeated label positions. Names are not verified unique identities or measurements of individual effort.
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English catalogue narrative
The perceptron learning model
Rosenblatt proposed a trainable pattern-recognition model connecting weighted responses, experience and classification.
Scientific scope
The 1958 model is a foundational research proposal with restricted representational power. It is not a modern deep network or a demonstration of general intelligence.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
F. Rosenblatt
Source paper byline retained, including repeated label positions. Names are not verified unique identities or measurements of individual effort.