Perceptrons
Early trainable artificial neural networks using adjustable weights for binary pattern classification.
Core metadata
- ID: perceptrons
- Era: Modern
- First known date: 1948 (decade)
- Region: Global / multiple regions
- Review status: source_checked
- Maturity: established
Prerequisites
- Artificial Neurons (artificial_neurons)
- Computers (Mainframe/Early) (computers_early)
- Probability & Statistical Inference (probability_statistics_inference)
Dependents
Fields
Field lanes
- Artificial Intelligence & Machine Learning: Neural Networks
Node sources
- The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain (Psychological Review, 1958, primary_paper) • Supports: node, maturity
Prerequisite edge evidence
Edge/source evidence summary:
- Prerequisite edges: 3
- Average edge confidence: 70%
- Prerequisite sources: 3
- expert_inference: 3
| Prerequisite | Type | Confidence | Evidence level | Note | Sources |
|---|---|---|---|---|---|
| Artificial Neurons (artificial_neurons) | enabling | 68% | expert_inference | Artificial Neurons provides a capability that enables this technology without being the only possible path. |
|
| Probability & Statistical Inference (probability_statistics_inference) | enabling | 68% | expert_inference | Probability & Statistical Inference provides a capability that enables this technology without being the only possible path. |
|
| Computers (Mainframe/Early) (computers_early) | historical_predecessor | 75% | expert_inference | Computers (Mainframe/Early) is an earlier historical predecessor or foundation, not a one-to-one engineering dependency. |
|
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