Efficiency and Scalability Methods for Computational Intellect

Efficiency and Scalability Methods for Computational Intellect Computational modeling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology, and many more; enhancing the need for a diversifying problem solving applications in this area.\n\nEfficiency and Scalability Methods for Computational Intellect presents various theories and methods for approaching the problem of modeling and simulating intellect in order to target computation efficiency and scalability of proposed methods. Researchers, instructors, and graduate students will benefit from this current research and will in turn be able to apply the knowledge in an effective manner to gain an understanding of how to improve this field.Efficiency and Scalability Methods for Computational Intellect is written by Boris Igelnik and published by Information Science Reference. ISBNs for Efficiency and Scalability Methods for Computational Intellect are 9781466639430, 1466639431 and the print ISBNs are 9781466639423, 1466639423.