Tonometry
发表于 2025-3-23 11:06:13
http://reply.papertrans.cn/17/1623/162296/162296_11.png
领带
发表于 2025-3-23 13:52:07
http://reply.papertrans.cn/17/1623/162296/162296_12.png
逗它小傻瓜
发表于 2025-3-23 21:20:52
http://reply.papertrans.cn/17/1623/162296/162296_13.png
渗透
发表于 2025-3-23 23:52:23
http://reply.papertrans.cn/17/1623/162296/162296_14.png
乐章
发表于 2025-3-24 02:42:01
Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Oression problems. The paper presents a new OLS-PSO constructive algorithm based on Orthogonal Least Square (OLS) method and Particle Swarm Optimization (PSO) algorithm. Instead of evaluating the orthogonal components of each neuron as the conventional OLS method, a new recursive formulation is deriv
点燃
发表于 2025-3-24 09:57:34
http://reply.papertrans.cn/17/1623/162296/162296_16.png
纵火
发表于 2025-3-24 12:54:57
Uncertainty Measurement for the Interval Type-2 Fuzzy Setlength of the type-reduced set as a measure of the uncertainty in an interval set. Greenfield and John argue that the volume under the surface of the type-2 fuzzy set is a measure of the uncertainty relating to the set. For an interval type-2 fuzzy set, the volume measure is equivalent to the area o
Muffle
发表于 2025-3-24 15:44:35
https://doi.org/10.1007/978-3-658-28770-2This paper presents application of Givens rotations in the process of learning feedforward artificial neural network. This approach is based on QR decomposition. The paper describes mathematical background that needs to be considered during the application of the Givens rotations. The paper concludes with results of example simulations.
夹死提手势
发表于 2025-3-24 20:34:35
http://reply.papertrans.cn/17/1623/162296/162296_19.png
ingenue
发表于 2025-3-25 00:58:02
http://reply.papertrans.cn/17/1623/162296/162296_20.png