Best Reference Books for Neural Network And Fuzzy Logic
List of "Best Reference Books for Neural Network And Fuzzy Logic" compiled based on Amazon book reviews by experts. These books are used by students of top institutes, universities, colleges and professionals. Please feel free to suggest any other book on this topic using the comment section below.
- Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications (Computer) by S. Rajasekaran,G. A. Vijayalakshmi PaiPrentice Hall India Learning Private Limited (Number of pages: 456)
- Neural Networks And Fuzzy Logic by BhaskarBs Publications/bsp Books
- Neural Networks and Fuzzy Logic by Dr. R.P. Das,L. SreedharS.K. Kataria & Sons (Number of pages: 250)
- Neural Networks and Fuzzy Logic by Vinoth Kumar,R. Saravana KumarS.K. Kataria & Sons (Number of pages: 300)
- Fundamental of Artificial Neural Network and Fuzzy Logic by Rajesh KumarLaxmi Publications (Number of pages: 162)
- Fuzzy Logic And Neural Networks by Amirthavalli MScitech Publications (India) Pvt Ltd
- Soft Computing: Neural Networks, Fuzzy Logic and Genetic Algorithms by Sushil Kumar SinghGalgotia
- Fuzzy Logic and Neural Networks: Basic Concepts & Applications by Chennakesava R. AlavalaNew Age International Private Limited (Number of pages: 276)
- Introduction to Neural Networks, Fuzzy Logic & Genetic algorithms by Sudarshan K. Valluru,T. Nageswara RaoJaico Publishing House (Number of pages: 248)
- Prediction of Software Reliability Using Neural Network & Fuzzy Logic by Sultan AljahdaliVDM Verlag (Number of pages: 112)
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