代码搜索:predict

找到约 2,271 项符合「predict」的源代码

代码结果 2,271
www.eeworm.com/read/293220/8307109

ncb predict.ncb

www.eeworm.com/read/370516/9597874

h predict.h

/***************************************************************************** * predict.h: h264 encoder library ***************************************************************************** * Copy
www.eeworm.com/read/370516/9597923

asm predict-a.asm

;***************************************************************************** ;* predict-a.asm: h264 encoder library ;***************************************************************************** ;*
www.eeworm.com/read/370516/9597924

h predict.h

/***************************************************************************** * predict.h: h264 encoder library ***************************************************************************** * Copy
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c predict.c

/***************************************************************************** * predict.c: h264 encoder ***************************************************************************** * Copyright (C
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c predict.c

/***************************************************************************** * predict.c: h264 encoder ***************************************************************************** * Copyright (C
www.eeworm.com/read/370516/9597964

asm predict-a.asm

;***************************************************************************** ;* predict-a.asm: h264 encoder library ;***************************************************************************** ;*
www.eeworm.com/read/369113/9662351

c predict.c

/* predict.c, motion compensated prediction */ /* Copyright (C) 1996, MPEG Software Simulation Group. All Rights Reserved. */ /* * Disclaimer of Warranty * * These
www.eeworm.com/read/172172/9722071

m predict.m

function prediction = predict(model,Xt,n, simfct, args) % Iterative prediction of a trained LS-SVM NARX model (in recurrent mode) % % >> Yp = predict({Xw,Yw,type,gam,sig2}, Xt, nb) % >> Yp = predict(
www.eeworm.com/read/367440/9748431

m predict.m

function prediction = predict(model,Xt,n, simfct, args) % Iterative prediction of a trained LS-SVM NARX model (in recurrent mode) % % >> Yp = predict({Xw,Yw,type,gam,sig2}, Xt, nb) % >> Yp = predict(