000 | 03367nam a22005775i 4500 | ||
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001 | 978-981-99-5929-7 | ||
003 | DE-He213 | ||
005 | 20240508082416.0 | ||
007 | cr nn 008mamaa | ||
008 | 230912s2024 si | s |||| 0|eng d | ||
020 |
_a9789819959297 _9978-981-99-5929-7 |
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024 | 7 |
_a10.1007/978-981-99-5929-7 _2doi |
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050 | 4 | _aTJ212-225 | |
050 | 4 | _aTJ210.2-211.495 | |
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_a629.8 _223 |
100 | 1 |
_aSun, Jiayue. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aAdaptive Dynamic Programming _h[electronic resource] : _bFor Chemotherapy Drug Delivery / _cby Jiayue Sun, Shun Xu, Yang Liu, Huaguang Zhang. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
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300 |
_aXV, 135 p. 40 illus., 38 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aPreface -- Acknowledgements -- Chapter1 Introduction -- Chapter 2 Neural Networks-Based Immune Optimization Regulation Using Adaptive Dynamic Programming -- Chapter 3 Optimal Regulation Strategy for Nonzero-Sum Games of the Immune System Using Adaptive Dynamic Programming -- Chapter 4 Evolutionary Dynamics Optimal Research-Oriented Tumor Immunity Architecture -- Chapter 5 N-Level Hierarchy-Based Optimal Control to Develop Therapeutic Strategies for Ecological Evolutionary Dynamics Systems -- Chapter 6 Combination Therapy-Based Adaptive Control for Organism Using Medicine Dosage Regulation Mechanism.-Chapter 7 Adaptive Virotherapy Strategy for Organism with Constrained Input Using Medicine Dosage Regulation Mechanism -- References. | |
506 | 0 | _aOpen Access | |
520 | _aThis open access book focuses on the practical application of Adaptive Dynamic Programming (ADP) in chemotherapy drug delivery, taking into account clinical variables and real-time data. ADP's ability to adapt to changing conditions and make optimal decisions in complex and uncertain situations makes it a valuable tool in addressing pressing challenges in healthcare and other fields. As optimization technology evolves, we can expect to see even more sophisticated and powerful solutions emerge. | ||
650 | 0 | _aControl engineering. | |
650 | 0 | _aRobotics. | |
650 | 0 | _aAutomation. | |
650 | 0 | _aDrug delivery systems. | |
650 | 1 | 4 | _aControl, Robotics, Automation. |
650 | 2 | 4 | _aDrug Delivery. |
700 | 1 |
_aXu, Shun. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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700 | 1 |
_aLiu, Yang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aZhang, Huaguang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789819959280 |
776 | 0 | 8 |
_iPrinted edition: _z9789819959303 |
776 | 0 | 8 |
_iPrinted edition: _z9789819959310 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-99-5929-7 |
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912 | _aZDB-2-SXIT | ||
912 | _aZDB-2-SOB | ||
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