Category : Files from Magazines
Archive   : PJ73.ZIP
Filename : NET7.BAS
+ am s Ý d ì n ò x à inum iÎ num÷ jnum4 knumW T lnumz tsnumª i epsilonµ´ u alpha»¾ ÁÈ ý d imæ t@ snumÇÒ z W1o M1J B1Q M4] O1ÍÜ M2¾ B2_ M5 O2» kÓæ § M3 B3 M6 O3C lÙð ë W2å W3 n5 jß tsþú h rq inkey" z
"÷,6@¶ inÖ jnª kn lnz tsn%J+T1^7h=r< tt¡ Bias1 target[ iwt cwt owtq imw cmwa omwÞ ibiasÖ cbias obias imb cmb omb: io co
ooÆ renumc renumberý cmbiî imwt cmwtu omwt iout_ cout oout imputC| flnm htabÉ PRINTTABIOUk¤v®£¸Â¯Ì©Öà|êJ nd# trialsô sþµÂÈÎ&1 STARTÔ0Ú:àDæNìX] sumòbølþv
¨"²(¼.Æ4ÐDÚYäiîoø} 8 cdelta* odelta o¥4 oerror«>±H² mowt½RÐ\ÖfÜp¨ mobiasâzè·ôî] à ú¢ obm ¬ ¶ÀQÊ?ÔEÞcèiòWüK]* idelta cwmÈ owm cbm iwm ibm½o¨²{¼uÆ$¥.«8±B·Lç`ájótí~ÛÕÏæÉVXbùlÿv#@)J/T5^hr|;pAzGMqw¢}¬S¶YÀ_ÊeÔkÞ ³*¡4§>HR\f¹¿Å˦û°ºÄÝÎãØéâ×ìÑöõ ï
¢¬%¶+À1Ê7Ô[ÞIèOò=üCagU$m sª©´¯¾ÈÒÜ æðyú£ÍÁ"»,µ6ë`jßtå~ÓÙÇ!¸'ÂñÌ÷Öýàê ô<
F
3P
KZ
-d
?n
QÐWÚ ähî9øEnt" , 6 @ J en e tit errsum VTAB LOCATION delta olderrÁ errsumdeltaÏ ptrÞ im1 im2 tar1 ptr1 À ã prog name is net7 ã d ß ã this is the number of inputs e å ã * this is the number of input layer neurons d ë ã + this is the number of center layer neuronss d ñ ã + this is the number of output layer neuronss ey ] ã this is the number of exemplars d Ò ã this is the convergence factor k ? ã ã this is the momentum factor ã " Î }î ] ß î ] ñ + e ë : å }> å ß 5 å ß 1 å _ å 8 å Ö } ë å < ë å ë h ë * ë Þ }Þ ñ ë C ñ ë # ñ q ñ É ñ æ ã s£ m PRESS ANY KEY WHEN READY ÿÿm dD ¢ m ` m ã ã INITIALIZE WEIGHTS AND BIASES ã dåV ÿÿ0 d dDpdw _ d 8 dßV ÿÿØ d dDpdw 5 d 1 f ÿÿ RdëV ÿÿ$ d dDpdwR < dR Rf ÿÿ f ÿÿ RdëV ÿÿt d dDpdwR h dR * Rf ÿÿ udñV ÿÿ RdëV ÿÿÒ d dDpdwuR C duR # Rf ÿÿ d dDpdwu q du É uf ÿÿ ã m NETDATA0 ý s£ d e2 m FILENAME = " ý e2 ß m INPUTS e2 å m
INPUT NEURONS" e2 ë m CENTER NEURONS e2 ñ m OUTPUT NEURONS e2 ] m EXEMPLARS" e2 Ò m EPSILON" e2 ã m MOMENTUM ã ã 2 SET INPUT AND TARGET VALUES FOR THE 121 EXEMPLARS ã d c d [ d a ¢dxdkÍÌL>W ÿÿ: qdxdkÍÌL>W ÿÿ. cd c ¢cd î qcd î k ? ¢ ¢p q qp npOcd + qf ÿÿ ¢f ÿÿ ã ã RANDOMIZE THE EXEMPLARS ã deú V ÿÿÿÿ dey dDp& Á dey dDp& Þ Ád îÞd îí ÿÿ Ád îÞd îí ÿÿ Ád +Þd +í ÿÿ f ÿÿÿÿ ã ã RUN 640 TRAINING ITERATIONS ã zdeV ÿÿì d ã ã + ONE TIME THROUGH FOR EACH OF 121 EXEMPLARSM ã cd]V ÿÿ* ã ã FEED THE INPUT HIDDEN LAYER ã dåV ÿÿ d » dßV ÿÿd »c î 5p » f ÿÿ dd »x _w n Ö f ÿÿ ã ã FEED THE CENTER HIDDEN LAYER ã RdëV ÿÿ^ d » dåV ÿÿ( » ÖR <p » f ÿÿ dd »xR hw nR Þ Rf ÿÿ ã ã FEED THE OUTER HIDDEN LAYER ã udñV ÿÿ
d » RdëV ÿÿê »R ÞuR Cp » Rf ÿÿ dd »xu qw nu æ uf ÿÿ ã ã ; ONE ITEM OF THE TRAINING SET HAS BEEN PROCESSED; NOW BACK ã &