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Books > Non-Fiction > Computing & I.T. > Computer Science > Artificial Intelligence > Neural Networks & Fuzzy Systems
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  • Hybrid Metaheuristics : Research and Applications - Siddhartha Bhattacharyya
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  • Artificial Neural Network for Drug Design, Delivery and Disposition - Munish Puri
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    Munish Puri, Vijay Kumar Sutariya, Srinivas Tipparaju, Wilfrido Moreno and Yashwant Pathak
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    Tao Song, Pan Zheng, Dennis Mou Ling Wong and Xun Wang
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  • Contemporary Quality Function Deployment For Product And Process Innovation : Towards Digital Transformation Of Customer And Product Information In A New Knowledge-based Approach - Thomas Lager
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  • Neural Modeling and Neural Networks : Pergamon Studies in Neuroscience - F. Ventriglia
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  • Neurobionics : An Interdisciplinary Approach to Substitute Impaired Functions of the Human Nervous System - H.-W. Bothe
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    H.-W. Bothe, M. Samii and R. Eckmiller
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  • Neural Networks in Bioprocessing and Chemical Engineering - D. R. Baughman
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  • Introduction to Neural Networks : 2nd Edition - Architecture Technology Architecture Technology Corpor
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  • Single Neuron Computation - Thomas M. McKenna
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  • Neural Network PC Tools : A Practical Guide - Russell C. Eberhart
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  • Neural Networks : Advances and Applications, 2 - E. Gelenbe
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  • Pattern Recognition in Practice IV : Multiple Paradigms, Comparative Studies and Hybrid Systems - E. S. Gelsema
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  • Artificial Neural Networks and Statistical Pattern Recognition : Old and New Connections - I. K. Sethi
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    I. K. Sethi and Anil K Jain
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  • Artificial Neural Networks, 2 : Proceedings of the 1992 International Conference on Artificial Neural Networks (ICANN-92) Brighton, United Kingdom, 4-7 September, 1992 - I. Aleksander
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    I. Aleksander and J. Taylor
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  • Adaptive Intelligent Systems : Proceedings of the BANKAI workshop, Brussels, Belgium, 12-14 October 1992 - Society for Worldwide Interban
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  • Advanced Neural Computers - R. Eckmiller
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    Harry Wechsler
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  • Artificial Intelligence V : Methodology, Systems, Applications - B. du Boulay
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  • Clinical Applications of Artificial Neural Networks - Richard Dybowski
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    Richard Dybowski
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  • A Practical Logic of Cognitive Systems : The Reach of Abduction: Insight and Trial - Dov M. Gabbay
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    Dov M. Gabbay and John Woods
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  • Bayesian Networks and Decision Graphs - Thomas Dyhre Nielsen
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    Thomas Dyhre Nielsen and FINN VERNER JENSEN
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  • Neural Networks in a Softcomputing Framework : with 116 figures - Ke-Lin Du
    Neural Networks in a Softcomputing Framework
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    Ke-Lin Du and M. N. S. Swamy
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  • Fractals in Physics - E. Tosatti
    Fractals in Physics
    E. Tosatti and L. Pietrelli
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  • Calculus of Thought : Neuromorphic Logistic Regression in Cognitive Machines - Daniel M Rice
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    Daniel M Rice
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  • Neural Systems for Robotics - Omid Omidvar
    Neural Systems for Robotics
    Omid Omidvar and Patrick van der Smagt
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  • Building Machine Learning Systems with Python : Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow, 3rd Edition - Luis Pedro Coelho
    Building Machine Learning Systems with Python
    Explore machine learning and deep learning tech...
    Luis Pedro Coelho, Willi Richert and Matthieu Brucher
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  • Online MLM Blueprint - Frank Kern
    Online MLM Blueprint
    Frank Kern
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  • Optimization Using Evolutionary Algorithms and Metaheuristics : Applications in Engineering - Author
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  • Advanced Deep Learning with Python : Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch - Ivan Vasilev
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    Ivan Vasilev
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  • Introduction to Self-Driving Vehicle Technology : Chapman & Hall/CRC Artificial Intelligence and Robotics Series - Hanky Sjafrie
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    Hanky Sjafrie
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  • Cunning Machines : Your Pocket Guide to the World of Artificial Intelligence - J?drzej Osi?ski
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  • TinyML : Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers - Pete Warden
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    Pete Warden and Daniel Situnayake
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  • Hands-On Generative Adversarial Networks with PyTorch 1.x : Implement next-generation neural networks to build powerful GAN models using Python - John Hany
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  • Soft Computing Techniques for Engineering Optimization : Science, Technology, and Management - Kaushik Kumar
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    Kaushik Kumar, Supriyo Roy and J. Paulo Davim
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    Martyn Amos
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    NEURAL NETWORKS
    Raghava Shankar and Srikanth RC cherukupalli-M.TECH
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    Michael Ryan
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    Eric Roth
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    John Slavio
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    John Biggs and Vicente Herrera García
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    Digital and Statistical Signal Processing
    Anastasia Veloni, Nikolaos Miridakis and Erysso Boukouvala
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