Network Security Architectures eBook

$12.00

  • Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 24 hours.
  • Version: PDF/EPUB. If you need another version, please Contact us
  • Quality: Full page, full content, high quality images, searchable text and you can print it.
  • Compatible Devices: Can be read on any devices (Kindle, NOOK, Android/IOS devices, Windows, MAC,..).
  • e-Book Features: Purchase and read your book immediately, access your eTextbook anytime and anywhere, unlimited download and share with friends.
  • Note: If you do not receive the download link within 15 minutes of your purchase, please Contact us. Thank you!

Two of the most important factors contributing to national and international economy are processing of information for accurate financial forecasting and decision making as well as processing of information for efficient control of manufacturing systems for increased productivity. The associated problems are very complex and conventional methods often fail to produce acceptable solutions. Moreover, businesses and industries always look for superior solutions to boost profitability and productivity. In recent times, artificial neural networks have demonstrated promising results in solving many real-world problems in these domains, and these techniques are increasingly gaining business and industry acceptance among the practitioners.Artificial Neural Networks in Finance and Manufacturing presents many state-of-the-art and diverse applications to finance and manufacturing, along with underlying neural network theories and architectures. It offers researchers and practitioners the opportunity to access exciting and cutting-edge research focusing on neural network applications, combining two aspects of economic domain in a single and consolidated volume.

Reviews

There are no reviews yet.

Be the first to review “Network Security Architectures eBook”

Your email address will not be published. Required fields are marked *