{
"item_title" : "Advances of Soft Computing in Engineering",
"item_author" : [" Zenon Waszczyszyn "],
"item_description" : "The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numerical efficiency of these soft methods is illustrated on the analysis and design of complex engineering structures. ",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/21/199/767/3211997679_b.jpg",
"price_data" : {
"retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Advances of Soft Computing in Engineering
Other Available Formats
Overview
The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numerical efficiency of these soft methods is illustrated on the analysis and design of complex engineering structures.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783211997673
- ISBN-10: 3211997679
- Publisher: Springer
- Publish Date: October 2009
- Dimensions: 9.3 x 6.1 x 0.8 inches
- Shipping Weight: 1.7 pounds
- Page Count: 336
Related Categories
