-
pingfanggen
说明: 平方根 求解线性方程组的解
数值计算(The square root of the solution for solving linear equations)
- 2011-02-27 22:43:59下载
- 积分:1
-
MATLABHuffman3
说明:
- 2006-06-08 12:26:45下载
- 积分:1
-
vectorcontrol3
vectorcontrol3. sim. vfd cxsscrr njm
- 2013-01-08 01:10:46下载
- 积分:1
-
MANET-Routing
Network coding simulation using MATLAB
- 2011-08-29 11:21:48下载
- 积分:1
-
OPQSK-frequecy-estimation
OPQSK调制信号的载波相位/频率以及时间同步算法的实现与验证,很有使用价值(OPQSK modulated signal carrier phase/frequency and time synchronization algorithm and validation, very valuable)
- 2013-10-16 08:53:02下载
- 积分:1
-
MS_AR_FEX
MS-AR:马尔科夫取值转移自回归模型,状态可取两种状态,也可以取多种状态。(MS-AR:the program of Markov Switching autoregressive model.)
- 2014-01-23 17:09:22下载
- 积分:1
-
hgjjx
描述了宏观经济学的重要应用,然后怎样利用MATLAB求解等。(sdfksadjflasfasdfljklfjkgj sodfekfj dad,jksadfh.)
- 2010-08-21 08:44:09下载
- 积分:1
-
perceptron
感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则
找到给定的二分类标签数据超平面。
(PERCEPTRON Perceptron algorithm to train binary linear classifier.
Synopsis:
model = perceptron(data)
model = perceptron(data,options)
model = perceptron(data,options,init_model)
Description:
model = perceptron(data) uses the Perceptron learning rule
to find separating hyperplane from given binary labeled data.
model = perceptron(data,options) specifies stopping condition of
the algorithm in structure options:
.tmax [1x1]... maximal number of iterations.
If tmax==-1 then it only returns index (model.last_update)
of data vector which should be used by the algorithm for updating
the linear rule in the next iteration.
model = perceptron(data,options,init_model) specifies initial model
which must contain:
.W [dim x 1] ... normal vector.
.b [1x1] ... bias of hyperplane.
.t [1x1] (optional) ... iteration number.
Input:
data [struct] Labeled (binary) training data.
.X [dim x num)
- 2011-05-01 18:19:52下载
- 积分:1
-
fdtd
FDTD simulations of wave propagation in 1D and 2D systems
- 2012-03-30 10:36:27下载
- 积分:1
-
try_TDOA
this program calculates EMITTER LOCATION USING TIME DIFFERENCE OF ARRIVAL MEASUREMENTS by using three sensors
- 2013-04-06 16:26:44下载
- 积分:1