古文字学
发表于 2025-3-23 10:46:12
Fachgespräche auf der 14. GI-JahrestagungIn this paper we study probabilistic neural networks based on the Parzen kernels. Weak convergence is established assuming time-varying noise. Simulation results are discussed in details.
多嘴多舌
发表于 2025-3-23 15:08:21
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endure
发表于 2025-3-23 19:16:43
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ventilate
发表于 2025-3-24 00:10:33
On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-sStrong convergence of general regression neural networks is proved assuming non-stationary noise. The network is based on the orthogonal series-type kernel. Simulation results are discussed in details.
Flawless
发表于 2025-3-24 02:54:14
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CHANT
发表于 2025-3-24 09:24:37
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Noisome
发表于 2025-3-24 12:28:37
Weak Convergence of the Parzen-Type Probabilistic Neural Network Handling Time-Varying NoiseIn this paper we study probabilistic neural networks based on the Parzen kernels. Weak convergence is established assuming time-varying noise. Simulation results are discussed in details.
inscribe
发表于 2025-3-24 18:25:48
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减至最低
发表于 2025-3-24 22:51:05
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anniversary
发表于 2025-3-25 01:56:54
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