Neural Networks: A Comprehensive Foundation
Simon Haykin low
The source holds an abstract for this work, but its best open-access copy is under cc-by-nc-nd, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- Extreme learning machine: Theory and applications→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Learning from Imbalanced Data→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- The Graph Neural Network Model→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Least Squares Support Vector Machine Classifiers→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Extreme Learning Machine for Regression and Multiclass Classification→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Extreme learning machine: a new learning scheme of feedforward neural networks→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- An introduction to kernel-based learning algorithms→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Artificial neural networks: fundamentals, computing, design, and application→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Nonlinear black-box modeling in system identification: a unified overview→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Fundamentals of Artificial Neural Networks→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Machine learning for medical diagnosis: history, state of the art and perspective→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Introduction to Machine Learning→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- A review of clustering techniques and developments→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Extreme Learning Machine for Regression and Multiclass Classification→Least Squares Support Vector Machine ClassifiersLegacy edge — source detail unavailable
- Extreme Learning Machine for Regression and Multiclass Classification→Extreme learning machine: Theory and applicationsLegacy edge — source detail unavailable
- Extreme Learning Machine for Regression and Multiclass Classification→Extreme learning machine: a new learning scheme of feedforward neural networksLegacy edge — source detail unavailable
- Artificial neural networks: fundamentals, computing, design, and application→Fundamentals of Artificial Neural NetworksLegacy edge — source detail unavailable
- Survey of Clustering Algorithms→An introduction to kernel-based learning algorithmsLegacy edge — source detail unavailable
- A review of clustering techniques and developments→Survey of Clustering AlgorithmsLegacy edge — source detail unavailable
What cites it, inside the corpus
Links
Download BibTeX · Download RIS · Open access copy · OpenAlex record
Topics
| Neural Networks and Applications | Computer Science |
Is this record sound?
partial
One field of this record is missing or disagrees with another. What is shown below is what the source publishes.
- supports1 author record(s) attached.
- weakensNo references are recorded despite 29,840 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 7e3d99a592f7f61f…