hANNdy uses MemBrain and its scripting abilities to automaticly train and validate an arbitrary number of neural net topologies to find the net that predicts your data with the least error.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001015s ]
SELECT `a`.`aid`,`a`.`title`,`a`.`create_time`,`m`.`username` FROM `jrk_downrecords` `a` INNER JOIN `jrk_member` `m` ON `a`.`uid`=`m`.`id` WHERE `a`.`status` = 1 GROUP BY `a`.`aid` ORDER BY `a`.`create_time` DESC LIMIT 10 [ RunTime:0.081062s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001894s ]
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SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.001084s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003874s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.000887s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.004034s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.016825s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.000999s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 261302 [ RunTime:0.020402s ]