%Learning Rate (lr) function parameter
%
%  <a href="matlab:doc nnparam.lr">lr</a> is a <a href="matlab:doc nnlearn">learning function</a> parameter.
%  It must be a positive scalar.
%
%  <a href="matlab:doc nnparam.lr">lr</a> is initial learning rate. Smaller values tend to result
%  in more accurate learning, while larger values result in lower learning
%  times.
%
%  This parameter is used by <a href="matlab:doc learncon">learncon</a>, <a href="matlab:doc learngd">learngd</a>, <a href="matlab:doc learngdm">learngdm</a>,
%  <a href="matlab:doc learnh">learnh</a>, <a href="matlab:doc learnhd">learnhd</a>, <a href="matlab:doc learnis">learnis</a>, <a href="matlab:doc learnk">learnk</a>, <a href="matlab:doc learnlv1">learnlv1</a>,
%  <a href="matlab:doc learnlv2">learnlv2</a>, <a href="matlab:doc learnos">learnos</a>, <a href="matlab:doc learnwh">learnwh</a>, <a href="matlab:doc traingd">traingd</a>, <a href="matlab:doc traingda">traingda</a>,
%  <a href="matlab:doc traingdm">traingdm</a> and <a href="matlab:doc traingdx">traingdx</a>.
 

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