Engineering Evolutionary Intelligent SystemsAjith Abraham, Crina Grosan, Witold Pedrycz Springer Science & Business Media, 2008. gada 3. janv. - 444 lappuses Evolutionary design of intelligent systems is gaining much popularity due to its capabilities in handling several real world problems involving optimization, complexity, noisy and non-stationary environment, imprecision, uncertainty and vagueness. This edited volume 'Engineering Evolutionary Intelligent Systems' deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business or commerce. This volume comprises of 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. |
No grāmatas satura
1.–5. rezultāts no 58.
... Fitness function for modelling 109 109 111 112 115 3 3.1 Simulation Results Gas furnace process . 3.2 Three. 4.2 The consequence of gHFNN : in case of gPNN combined Center of Excellence for Quantifiable Natural Computing Research. VI ...
... function 4 Conclusions . . . 5 Acknowledgement References 116 116 120 124 124 126 Recursive Pattern based Hybrid Supervised Training Kiruthika Ramanathan and Sheng Uei Guan . 1 Introduction .. 1.1 ... Fitness Function .. .300 Contents VII.
... 3 Genetic Algorithm . . . . 216 4 Clustering and Linear Regression Analysis Using 4.1 Entropy - based Fuzzy Clustering ( EFC ) 217. the Clustered Data . 217 3.3 Fitness Function .. .300 Contributors Ajith Abraham Quality of VIII Contents.
... Fitness Function .. .300 Contributors Ajith Abraham Quality of Service Norwegian University of Science Contents IX.
Atvainojiet, šīs lappuses saturs ir ierobežots..
Citi izdevumi - Skatīt visu
Engineering Evolutionary Intelligent Systems Ajith Abraham,Crina Grosan,Witold Pedrycz Ierobežota priekšskatīšana - 2008 |
Engineering Evolutionary Intelligent Systems Ajith Abraham,Crina Grosan,Witold Pedrycz Priekšskatījums nav pieejams - 2010 |