<h1></h1><h1>附件说明：</h1><pre>neural network modeling course notes</pre><p>copyright by sas institute inc cary Nc use all rights reserved printed <br/>in the united states of america no part of this publication may be reproduced<br/>stored in a retrieval system or transmitted in any form or by any means <br/>electronic mechanical photocopying or othervise without the prior written <br/>premission of the pubisher</p><pre><br/>table of contents<br/>supervised prediction<br/> example univariate function estinatiom<br/> example enterpise miner bosics<br/>newwork architecture<br/> example proc neural bosics<br/> example fexible discriminant analysis<br/>training<br/> example boston housing data<br/>model complexity<br/> example empirically selecting the nunber of neurons<br/> example interactive cascade architecture<br/> example regularized MLP<br/>generalize additive neural networks<br/> example GANN analysis of the boston housing data<br/> example GANN for the bank d data<br/>nonlinear autoregression<br/> example AR MLP<br/> example VAR MLP<br/>exercises<br/>references<br/></pre>
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