Fundamentals of Artificial Neural Networks
M.H. Hassoun low
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Citation edge evidence
- Artificial neural networks: fundamentals, computing, design, and application→Fundamentals of Artificial Neural NetworksLegacy edge — source detail unavailable
- Fundamentals of Artificial Neural Networks→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Fundamentals of Artificial Neural Networks→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Fundamentals of Artificial Neural Networks→Pattern Recognition and Neural NetworksLegacy edge — source detail unavailable
- Fundamentals of Artificial Neural Networks→Introduction to the theory of neural computationLegacy edge — source detail unavailable
- Fundamentals of Artificial Neural Networks→A scaled conjugate gradient algorithm for fast supervised learningLegacy edge — source detail unavailable
- Fundamentals of Artificial Neural Networks→Introduction to artificial neural systemsLegacy edge — source detail unavailable
- Fundamentals of Artificial Neural Networks→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable
- Artificial neural networks: fundamentals, computing, design, and application→Neural Networks: A Comprehensive FoundationLegacy edge — source detail unavailable
- Artificial neural networks: fundamentals, computing, design, and application→Introduction to the theory of neural computationLegacy edge — source detail unavailable
- Artificial neural networks: fundamentals, computing, design, and application→What Size Net Gives Valid Generalization?Legacy edge — source detail unavailable
- Pattern Recognition and Neural Networks→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| The Nature of Statistical Learning Theory | 1995 | 39,409 |
| Neural Networks: A Comprehensive Foundation | 1998 | 29,840 |
| Pattern Recognition and Neural Networks | 1996 | 6,514 |
| Introduction to the theory of neural computation | 1994 | 6,461 |
| A scaled conjugate gradient algorithm for fast supervised learning | 1993 | 4,088 |
| Introduction to artificial neural systems | 1992 | 2,289 |
| What Size Net Gives Valid Generalization? | 1989 | 1,559 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Artificial neural networks: fundamentals, computing, design, and application | 2000 | 3,250 |
Links
Topics
| Neural Networks and Applications | Computer Science |
| Advanced Optimization Algorithms Research | Mathematics |
| Matrix Theory and Algorithms | Computer Science |
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Provenance
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