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gptkbp:instanceOf
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gptkb:algorithm
artificial neural network model
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|
gptkbp:activatedBy
|
step function
|
|
gptkbp:component
|
weights
input layer
output layer
bias
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gptkbp:developedBy
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gptkb:Frank_Rosenblatt
|
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gptkbp:field
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gptkb:artificial_intelligence
gptkb:machine_learning
neural networks
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gptkbp:form
|
linear classifier
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gptkbp:hardware
|
gptkb:Mark_I_Perceptron
|
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gptkbp:historicalSignificance
|
early neural network model
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|
https://www.w3.org/2000/01/rdf-schema#label
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Perceptron
|
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gptkbp:influencedBy
|
biological neuron
|
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gptkbp:input
|
feature vector
|
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gptkbp:inspiredBy
|
multi-layer perceptron
|
|
gptkbp:introducedIn
|
1957
|
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gptkbp:learningRule
|
perceptron learning rule
|
|
gptkbp:limitation
|
cannot solve non-linearly separable problems
|
|
gptkbp:output
|
single binary value
|
|
gptkbp:publishedIn
|
gptkb:The_Perceptron:_A_Probabilistic_Model_for_Information_Storage_and_Organization_in_the_Brain
|
|
gptkbp:relatedTo
|
support vector machine
logistic regression
|
|
gptkbp:trainer
|
iterative adjustment of weights
|
|
gptkbp:usedFor
|
binary classification
supervised learning
|
|
gptkbp:bfsParent
|
gptkb:Neural_Networks
|
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gptkbp:bfsLayer
|
6
|