Hallo! Tracked shipping to Netherlands with Delivery Duty Paid for just €7 

Ship to
Netherlands
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada An Investigation for Intelligence and Classical Optimization for NLP
Type
Physical Book
Author
Publisher
Language
English
Pages
116
Format
Paperback
Dimensions
22.9x15.2x0.7 cm
Weight
0.18 kg.
ISBN13
9786200312419
Categories

An Investigation for Intelligence and Classical Optimization for NLP

Shatha Abdullah M. Ramadhan (Author) · Nidhal H. Al-Assady (Author) · LAP Lambert Academic Publishing · Paperback

An Investigation for Intelligence and Classical Optimization for NLP - Abdullah M. Ramadhan, Shatha ; H. Al-Assady, Nidhal

New Book Imported to Netherlands
Delivery: 13 Oct - 15 Oct Shipping: 13 to 14 business days.
€ 59,75
Import costs and 9% BTW included in the price ✅
€ 59,75

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "An Investigation for Intelligence and Classical Optimization for NLP"

This work is concerned with the improvements of both intelligence optimization technique (such as genetic algorithm) and the classical optimization technique (such as conjugate gradient) for non-linear unconstrained and constrained problems. This work contains the hybrid intelligence and classical optimization techniques. In the first part of this work deals with unconstrained problems and other part deals with constrained problems. Firstly, we have the classical conjugate gradient methods with scaling and restarting techniques based on the crossover of the genetic algorithm. Secondly, the modified genetic algorithm is used to solve constrained problems depending on the transformation of function and variables values. The integer-programming problem with genetic algorithm is also investigated. Finally, in this work a new conjugate gradient neural network and hybrid Fletcher Reeves type method have been investigated. Our improvement on conjugate gradient methods and genetic algorithms show that its promising when compared with other standard algorithms to solve non-linear optimization problems.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews