06-08-2016, 04:14 PM
solution manual for introduction to artificial neural systems by zurada ppt
This comprehensive text on neural networks makes the field accessible to researchers, practitioners and students. It emphasizes neurocomputing systems and introduces topics through illustrations, clear examples, applications and exercises. A comprehensive coverage of the mathematical foundations of learning machines provides the reader with a solid basis for understanding and appreciating neural systems. A summary of training and recall algorithms and a discussion of their applications make Zurada's approach invaluable for those who are looking for neuroengineering projects. The result is an exceptional book, providing not only a thorough introduction but also an excellent research foundation.
Features
comprehensive, unified coverage of artificial neural systems
lucid exposition of neural processing principles, especially of learning and recall
neurocomputing algorithms introduced through intuitive examples
discussion of applications of neural networks in engineering and science
coverage of simulation, design and implementation of neural processors
174 end-of-chapter exercises and projects, including computational assignments
program disk available with simulation software for DOS
This comprehensive text on neural networks makes the field accessible to researchers, practitioners and students. It emphasizes neurocomputing systems and introduces topics through illustrations, clear examples, applications and exercises. A comprehensive coverage of the mathematical foundations of learning machines provides the reader with a solid basis for understanding and appreciating neural systems. A summary of training and recall algorithms and a discussion of their applications make Zurada's approach invaluable for those who are looking for neuroengineering projects. The result is an exceptional book, providing not only a thorough introduction but also an excellent research foundation.
Features
comprehensive, unified coverage of artificial neural systems
lucid exposition of neural processing principles, especially of learning and recall
neurocomputing algorithms introduced through intuitive examples
discussion of applications of neural networks in engineering and science
coverage of simulation, design and implementation of neural processors
174 end-of-chapter exercises and projects, including computational assignments
program disk available with simulation software for DOS
