perceptron

URI: https://gptkb.org/entity/perceptron

GPTKB entity

Statements (59)

Predicate	Object
gptkbp:instance_of	gptkb:microprocessor
gptkbp:bfsLayer	5
gptkbp:bfsParent	gptkb:Mc_Culloch-Pitts_neuron_model gptkb:Mc_Culloch-Pitts_neuron gptkb:Mc_Culloch-Pitts_Neuron
gptkbp:adapted_into	multi-class classification
gptkbp:allows	non-linear problems linearly separable data
gptkbp:analyzes	decision boundary 2 D space
gptkbp:can_be_extended_by	gptkb:multi-layer_perceptron
gptkbp:can_be_used_with	other algorithms
gptkbp:developed_by	gptkb:Frank_Rosenblatt
gptkbp:established	step function
gptkbp:field	computational neuroscience
gptkbp:has_programs	image processing
https://www.w3.org/2000/01/rdf-schema#label	perceptron
gptkbp:influenced_by	biological neurons
gptkbp:input_output	binary output real-valued numbers
gptkbp:is_a	binary classifier linear classifier single-layer neural network supervised learning model
gptkbp:is_analyzed_in	gptkb:Artificial_Intelligence
gptkbp:is_associated_with	feature extraction
gptkbp:is_compared_to	support vector machines
gptkbp:is_enhanced_by	ensemble methods
gptkbp:is_evaluated_by	accuracy confusion matrix loss function training dataset
gptkbp:is_fundamental_to	deep learning
gptkbp:is_implemented_in	gptkb:Graphics_Processing_Unit gptkb:Keras various programming languages
gptkbp:is_influenced_by	gptkb:psychologist
gptkbp:is_optimized_for	regularization techniques
gptkbp:is_part_of	gptkb:software_framework data science predictive modeling artificial intelligence systems
gptkbp:is_related_to	gptkb:microprocessor data mining feature selection
gptkbp:is_tested_for	test dataset
gptkbp:is_used_by	natural language processing
gptkbp:is_used_for	binary classification signal processing
gptkbp:is_used_in	gptkb:robot financial forecasting pattern recognition spam detection healthcare analytics
gptkbp:training	supervised learning labeled data gradient descent machine learning courses
gptkbp:year_created	gptkb:1958