



  Fundamentals of Neural NetworksProviding detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptiveresonance theory; and more. For professionals working with neural networks.
There has been a resurgence...   Mechanical Engineers Data HandbookThere are several good mechanical engineering data books on the market but these tend to be very bulky and expensive, and are usually only available in libraries as reference books.
The Mechnical Engineer’s Data Handbook has been compiled with the express intention of providing a compact but comprehensive source of information of... 


Foundations of Dependable Computing: Models and Frameworks for Dependable SystemsFoundations of Dependable Computing: Models and Frameworks for Dependable Systems presents two comprehensive frameworks for reasoning about system dependability, thereby establishing a context for understanding the roles played by specific approaches presented in this book's two companion volumes. It then explores the range of models and...   E: The Story of a NumberMaor attempts to give the irrational number e its rightful standing alongside pi as a fundamental constant in science and nature; he succeeds very well.... Maor writes so that both mathematical newcomers and longtime professionals alike can thoroughly enjoy his book, learn something new, and witness the ubiquity of mathematical ideas in...   Foundations of Dependable Computing: System ImplementationFoundations of Dependable Computing: System Implementation, explores the system infrastructure needed to support the various paradigms of Paradigms for Dependable Applications. Approaches to implementing support mechanisms and to incorporating additional appropriate levels of fault detection and fault tolerance at the processor, network, and... 



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