外形 发表于 2025-3-28 18:18:25
https://doi.org/10.1007/978-3-540-73055-2Augmented Reality; Fuzzy; Knowledge Engineering; ant colony optimization; artificial intelligence; artifiinsolence 发表于 2025-3-28 18:47:13
Performance Monitoring of Closed-Loop Controlled Systems Using dFasArt,system operation states. Digital Signal Processing is used to represent temporal signal with spatial patterns. A neuro-fuzzy scheme (dFasArt) is proposed to classify these patterns, in an on-line way, characterizing the state of controller performance. A real scale plant has been used to carry out several experiments with good results.MEEK 发表于 2025-3-29 01:43:09
http://reply.papertrans.cn/67/6621/662011/662011_43.png含沙射影 发表于 2025-3-29 07:09:55
http://reply.papertrans.cn/67/6621/662011/662011_44.pngobsolete 发表于 2025-3-29 11:09:28
0302-9743 Overview: 978-3-540-73054-5978-3-540-73055-2Series ISSN 0302-9743 Series E-ISSN 1611-3349暂时别动 发表于 2025-3-29 13:44:18
http://reply.papertrans.cn/67/6621/662011/662011_46.pngalliance 发表于 2025-3-29 18:16:27
HANNA: A Tool for Hardware Prototyping and Benchmarking of ANNs,on platform of an ANN for a given application. This paper describes HANNA, a software tool designed to automate the generation of hardware prototypes of MLP and MLP-like neural networks over FPGA devices. Coupled with traditional Matlab./Simulink. environments the generated model can be synthesized,最高点 发表于 2025-3-29 22:34:05
Improvement of ANNs Performance to Generate Fitting Surfaces for Analog CMOS Circuits,ications are very restrictive, and so, the performance of these networks must be improved. This is the case of analog CMOS circuits, where models created must provide an accuracy which some times is difficult to achieve using classical techniques. In this paper we describe a modelling method for sucmyelography 发表于 2025-3-30 02:23:37
Wavelet Network for Nonlinearities Reduction in Multicarrier Systems,r multicarrier systems. Parameters of the proposed network are identified using an hybrid training algorithm, which adapts the linear output parameters using the least square algorithm and the nonlinear parameters of the hidden nodes are trained using the gradient descent algorithm. Computer simulat档案 发表于 2025-3-30 05:07:35
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