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Molecular and DNA Artificial Neural Networks via Fractional Coding
Xingyi Liu,
Keshab K. Parhi
Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
18
Scopus citations
Overview
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Dive into the research topics of 'Molecular and DNA Artificial Neural Networks via Fractional Coding'. Together they form a unique fingerprint.
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Keyphrases
Artificial Neural Network
100%
Perceptron
100%
Fractional Coding
100%
Weighted Sums
80%
Molecular DNA
40%
Hidden Layer
40%
DNA Sequencing
20%
Molecular Computing
20%
Seizure Prediction
20%
Electroencephalogram
20%
Activation Function
20%
Two-layer
20%
Machine Learning Applications
20%
Molecular Reaction
20%
Divider
20%
Molecular Activation
20%
Negative numbers
20%
Prediction Application
20%
Artificial Neural Network Classifier
20%
Multi-layer Artificial Neural Network
20%
Softmax
20%
Binary Input
20%
Rectified Linear Unit (ReLU)
20%
Mathematics
Neural Network
100%
Weighted Sum
57%
Perceptron
42%
positive number δ
14%
Negative Number
14%
Artificial Neural Network
14%
Computer Science
Neural Network
100%
Molecular Computing
14%
Divider
14%
Activation Function
14%
Negative Number
14%
Positive Number
14%
Machine Learning
14%
Learning System
14%
Artificial Neural Network
14%
ReLU Function
14%
Material Science
Multilayers
100%
Made Paper
100%
Chemical Engineering
Neural Network
100%
Learning System
12%