Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm.

K J Cios1, N Liu

  • 1Dept. of Electr. Eng., Toledo Univ., OH.

IEEE Transactions on Neural Networks
|January 1, 1992
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effect of yeast cell wall on the growth performance and gut health of broilers challenged with aflatoxin B1 and necrotic enteritis.

Poultry science·2017
Same author

[Analysis of non-invasive prenatal screening detection in fetal chromosome aneuploidy].

Zhonghua fu chan ke za zhi·2017
Same author

[Research progress on the prevention and therapy for chemotherapy-related cardiotoxicity and cardiomyopathy].

Zhonghua xin xue guan bing za zhi·2017
Same author

[Comparative study on the efficacy and safety between pegfilgrastim (PEG-rhG-CSF) and recombinant human granulocyte colony-stimulating factor in promoting hematopoietic recovery after allogeneic hematopoietic stem cell transplantation after hematological malignancy].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2017
Same author

4218T/C polymorphism associations with post-cesarean patient-controlled epidural fentanyl consumption and pain perception.

Acta anaesthesiologica Scandinavica·2017
Same author

Changes in nitric oxide levels and their relationship with callose deposition during the interaction between soybean and Soybean mosaic virus.

Plant biology (Stuttgart, Germany)·2017
Same journal

Universal perceptron and DNA-like learning algorithm for binary neural networks: LSBF and PBF implementations.

IEEE transactions on neural networks·2013
Same journal

Guest editorial: special section on white box nonlinear prediction models.

IEEE transactions on neural networks·2011
Same journal

Data-based fault-tolerant control of high-speed trains with traction/braking notch nonlinearities and actuator failures.

IEEE transactions on neural networks·2011
Same journal

Guest editorial: special section on data-based control, modeling, and optimization.

IEEE transactions on neural networks·2011
Same journal

Neural network-based multiple robot simultaneous localization and mapping.

IEEE transactions on neural networks·2011
Same journal

Data-driven model-free adaptive control for a class of MIMO nonlinear discrete-time systems.

IEEE transactions on neural networks·2011
See all related articles

This study introduces a continuous ID3 algorithm to convert decision trees into neural network hidden layers, enabling self-generating feedforward network architectures and interpretable knowledge extraction. Performance was validated on spiral data.

Area of Science:

  • Machine Learning
  • Artificial Intelligence
  • Neural Networks

Background:

  • Decision trees and neural networks are distinct machine learning models.
  • Interpreting the knowledge within neural network hidden layers is challenging.

Purpose of the Study:

  • To describe the relationship between decision trees and neural network hidden layers.
  • To propose a novel algorithm for converting decision trees into neural network hidden layers.
  • To enable self-generation of feedforward neural network architectures and knowledge interpretation.

Main Methods:

  • A continuous ID3 algorithm was developed to transform decision trees into hidden layers.
  • Feedforward neural network architectures were self-generated.
  • Knowledge embedded in connections and weights was interpreted.

Related Experiment Videos

  • Cauchy training (fast simulated annealing) was used to avoid local minima.

    • Main Results:

    • The continuous ID3 algorithm successfully converted decision trees into neural network hidden layers.
    • Self-generation of feedforward neural network architectures was achieved.
    • The algorithm facilitated interpretation of embedded knowledge.
    • Performance analysis on spiral data demonstrated the algorithm's efficacy.

    Conclusions:

    • The proposed continuous ID3 algorithm bridges decision trees and neural networks.
    • This approach allows for interpretable and self-generating neural network models.
    • The method shows promise for enhancing understanding and application of neural networks.