Universal Approximation Using Radial-Basis-Function Networks
Jihun Park, Irwin W. Sandberg low
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- Universal Approximation using Incremental Constructive Feedforward Networks with Random H…→Universal Approximation Using Radial-Basis-Function NetworksLegacy edge — source detail unavailable
- A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks→Universal Approximation Using Radial-Basis-Function NetworksLegacy edge — source detail unavailable
- Extreme learning machines: a survey→Universal Approximation Using Radial-Basis-Function NetworksLegacy edge — source detail unavailable
- Universal Approximation Using Radial-Basis-Function Networks→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Universal Approximation Using Radial-Basis-Function Networks→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
- Universal Approximation Using Radial-Basis-Function Networks→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Universal Approximation Using Radial-Basis-Function Networks→Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive NetworksLegacy edge — source detail unavailable
- Extreme learning machines: a survey→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
- Extreme learning machines: a survey→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Extreme learning machines: a survey→Universal Approximation using Incremental Constructive Feedforward Networks with Random H…Legacy edge — source detail unavailable
- Extreme learning machines: a survey→A Fast and Accurate Online Sequential Learning Algorithm for Feedforward NetworksLegacy edge — source detail unavailable
- Extreme learning machines: a survey→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Extreme learning machines: a survey→Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive NetworksLegacy edge — source detail unavailable
- Approximation by superpositions of a sigmoidal function→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Multilayer feedforward networks are universal approximators→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
- Multilayer feedforward networks are universal approximators→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Universal Approximation using Incremental Constructive Feedforward Networks with Random H…→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
- Universal Approximation using Incremental Constructive Feedforward Networks with Random H…→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Universal Approximation using Incremental Constructive Feedforward Networks with Random H…→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks→Universal Approximation using Incremental Constructive Feedforward Networks with Random H…Legacy edge — source detail unavailable
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| Neural Networks and Applications | Computer Science |
| Fuzzy Logic and Control Systems | Computer Science |
| Rough Sets and Fuzzy Logic | Computer Science |
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