Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.
Shivnandan Soft Computing Pdf 11
Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.
His personal research areas are embedded control, cybersecurity, autonomous software for unmanned systems (mainly aerial vehicles), computer vision, nonlinear and adaptive control, control of hybrid and embedded systems and network embedded systems and software.
This book talks about how one can structure Big Data so that Machine Language Algorithms can work on it, how to leverage supercomputing techniques, how to perform research on that data using ML algorithms, and how to backtest findings while minimizing false positives.
This set includes Bridge Model:MLS11DA & HV Supply model :HLS12A , Laptop based & necessary cables & very flexible, user friendly Visual C++ windows based Software. The use of Laptop & Windows based software makes the system more flexible easy to handle & accurateData can be stored, Retrieved and analyzed at site.
Introduction to Neural Networks Using MATLAB 6.0 makes use of MATLAB throughout the book. This helps in efficiently understanding the subject with more depth and clarity. MATLAB is a computing environment that is highly interactive and provides a platform for programming using a high-level language. This helps the students visualize the solution with ease.
This book also has an appendix at the end named MATLAB Neural Network Toolbox for the convenience of the students. With over 325 illustrations, this book also has simulated results obtained for the techniques used for neural computing, which makes use of MATLAB. The concepts are explained in a manner that is aimed at laying strong fundamentals for the students. The book includes various applications of neural networks like healthcare, robotics, pattern recognition and security.
\r \tIntroduction to Neural Networks Using MATLAB 6.0 makes use of MATLAB throughout the book. This helps in efficiently understanding the subject with more depth and clarity. MATLAB is a computing environment that is highly interactive and provides a platform for programming using a high-level language. This helps the students visualize the solution with ease.
\r \tThis book also has an appendix at the end named MATLAB Neural Network Toolbox for the convenience of the students. With over 325 illustrations, this book also has simulated results obtained for the techniques used for neural computing, which makes use of MATLAB. The concepts are explained in a manner that is aimed at laying strong fundamentals for the students. The book includes various applications of neural networks like healthcare, robotics, pattern recognition and security. 2ff7e9595c
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