Notice bibliographique
- Notice
000 cam 22 3 450
001 FRBNF458059460000006
010 .. $a 012812847X
010 .. $a 9780128128473 $z 9780128128480
035 .. $a OCoLC1028229016
100 .. $a 20201026d2019 m y0engy50 ba
101 0. $a eng
102 .. $a NL
105 .. $a y z 00|y|
106 .. $a s $a z
135 .. $a dru||||||||||
181 .0 $6 01 $a i $b xxxe
181 .. $6 02 $c txt $2 rdacontent
182 .0 $6 01 $a b
182 .. $6 02 $c c $2 rdamedia
200 1. $a Ozonation and biodegradation in environmental engineering $b Texte électronique $e dynamic neural network approach $f Tatyana Poznyak, Isaac Chairez Oria, Alexander S. Poznyak
214 .0 $a Amsterdam $c Elsevier
214 .4 $d C 2019
215 .. $a 1 ressource dématérialisée
307 .. $a La pagination de l'éedition imprimée correspondante est de : XXXV-510 p.
330 .. $a Ozonation and Biodegradation in Environmental Engineering: Dynamic Neural Network
Approach gives a unified point-of-view on the application of DNN to estimate and control
the application of ozonation and biodegradation in chemical and environmental engineering.
This book deals with modelling and control design of chemical processes oriented to
environmental and chemical engineering problems. Elimination in liquid, solid and
gaseous phases are all covered, along with processes of laboratory scale that are
evaluated with software sensors and controllers based on DNN technique, including
the removal of contaminants in residual water, remediation of contaminated soil, purification
of contaminated air, and more. The book also explores combined treatments using both
ozonation and biodegradation to test the sensor and controller
676 .. $a 628.5 $v 23
801 .3 $a US $b OCoLC $c 20201026 $h 1028229016 $2 marc21
801 .0 $b YDX $g rda
930 .. $5 FR-759999999:45805946001001 $a ACQNUM-113562 $b 759999999 $c Document numérisé $d N
