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C++ Neural Networks and Fuzzy Logic Hayagriva Rao, Valluru B. Rao
Publisher: M & T Books

C++ Neural Networks and Fuzzy LogicHayagriva Rao, Valluru B. Control Structure Stamations V. Currently there are toolboxes available in signal processing, audio processing, vector quantization, neural networks, fuzzy logic, robotics, linear algebra, and an interface to let the program work in conjunction with the Octave FreeMat is intended to go beyond Matlab to include features such as a codeless interface to external C/C++/Fortran code, parallel/distributed algorithm development (via MPI), and advanced volume and 3D visualization capabilities. I know that for sure because I was totaly illiterate in that topic before I red it. Fusion Of Neural Networks, Fuzzy Systems And Genetic Algorithms – Lakhmi C. Bow; Pattern Recognition in Speech and Language Processing – WU CHOU; Pattern Recognition with Neural Networks in C++ – Abhijit S. C++ Neural Networks and Fuzzy Logic This book is excellent introduction to theory and practical application of neural networks and fuzzy logic. Now, a little bit about me: I've a background in computer science, but lost all my skills in C++ and Java since many years. Martin; Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach – Kazuo Tanaka, Hua O. Katalopoulos, Understanding Neural Networks and Fuzzy Logic. I'm actually working on extensive numerical simulations (montecarlo, complex systems, multi agents, etc etc.) in MATLAB and have knowledge in basic IA (supervised and unsupervised learning (neural networks,), scripting, fuzzy logic, ). Architecture, Probability and Statistics, Data Structures and Analysis of Computer Algorithms, Operating Systems, Object Oriented Programming with C++, Data Structures LAB in C, Microprocessors and Embedded Systems etc. Wang; Fuzzy Logic in Embedded Pattern recognition and image preprocessing 2nd ed -Sing T. Principles of Object-Oriented Programming; Beginning with C++; Tokens, Expressions and.