代码搜索：initialisation
找到约 2,024 项符合「initialisation」的源代码
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www.eeworm.com/read/314653/13562257
m bpxnc.m
%BPXNC Back-propagation trained feed-forward neural net classifier
%
% [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID)
%
% INPUT
% A Dataset
% UNITS Array indicating number of units in each h
www.eeworm.com/read/150372/5693330
h cc1010.h
/*--------------------------------------------------------------------------
CC1010.H
Header file for ChipCon CC1010 microcontroller.
Copyright (c) 2002 Keil Elektronik GmbH and Keil Software, In
www.eeworm.com/read/149399/5700166
h cc1010.h
/*--------------------------------------------------------------------------
CC1010.H
Header file for ChipCon CC1010 microcontroller.
Copyright (c) 2002 Keil Elektronik GmbH and Keil Software, In
www.eeworm.com/read/134007/5896212
h cc1010.h
/*--------------------------------------------------------------------------
CC1010.H
Header file for ChipCon CC1010 microcontroller.
Copyright (c) 2002 Keil Elektronik GmbH and Keil Software, In
www.eeworm.com/read/131315/5932497
h udareg.h
/*
* Copyright (c) 1988 Regents of the University of California.
* All rights reserved.
*
* This code is derived from software contributed to Berkeley by
* Chris Torek.
*
* Redistribution and u
www.eeworm.com/read/128784/5979325
h cc1010.h
/*--------------------------------------------------------------------------
CC1010.H
Header file for ChipCon CC1010 microcontroller.
Copyright (c) 2002 Keil Elektronik GmbH and Keil Software, In
www.eeworm.com/read/113685/6126372
h90 pde1.h90
PROGRAM PDE1
! ==================================================================
! ===
www.eeworm.com/read/493294/6399864
m ffnc.m
%FFNC Feed-forward neural net classifier back-end
%
% [W,HIST] = FFNC (ALG,A,UNITS,ITER,W_INI,T,FID)
%
% INPUT
% ALG Training algorithm: 'bpxnc' for back-propagation (default), 'lmnc'
%
www.eeworm.com/read/493294/6399962
m kmeans.m
%KMEANS k-means clustering
%
% [LABELS,A] = KMEANS(A,K,MAXIT,INIT,FID)
%
% INPUT
% A Matrix or dataset
% K Number of clusters to find (optional; default: 2)
% MAXIT maximum number o
www.eeworm.com/read/493294/6399970
m bpxnc.m
%BPXNC Back-propagation trained feed-forward neural net classifier
%
% [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID)
%
% INPUT
% A Dataset
% UNITS Array indicating number of units in each h