مجموعه کتاب های هوش مصنوعی

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مجموعه کتاب های هوش مصنوعی

Artificial Intelligence Book Collection

هوش مصنوعی یا هوش ماشینی را باید عرصهٔ پهناور تلاقی و ملاقات بسیاری از دانش‌ها، علوم، و فنون قدیم و جدید دانست. ریشه‌ها و ایده‌های اصلی آن را باید در فلسفه، زبان‌شناسی، ریاضیات، روان‌شناسی، نورولوژی، و فیزیولوژی نشان گرفت .در این مجموعه از بهترین کتاب های موجود در این زمینه گردآوری شده که می تواند منبع قابل قبولی برای کسانی که علاقه به این دانش دارند باشد.

E-Book List : 
A Practical Theory of Programming – Eric C.R. Hehner.pdf
Advances in Applied Artificial Intelligence – John Fulcher.pdf
Advances in Artificial Intelligence – SBIA 2004 – Ana L.C. Bazzan , Sofiane Labidi.pdf
Adventure in Prolog – Amzi.pdf
Agent-Oriented Programming – From Prolog to Guarded Definite Clauses – Matthew M. Huntbach.pdf
An Introduction to Neural Networks – Patrick van der Smagt.pdf
An Introduction To Programming In Emacs Lisp, 2Nd Ed – Robert J. Chassell.pdf
An Introduction to Scheme and its Implementation.pdf

Analysis And Applications Of Artificial Neural Networks – LPG Veelenturf.pdf
Artificial Intelligence A Modern Approach – Stuart J. Russell , Peter Norvig.pdf
Artificial Intelligence and Expert Systems for Engineers – Krishnamoorthy , S. Rajeev.pdf
Artificial Intelligence and Soft Computing  Behavioral and Cognitive Modeling of the Human Brain – Konar Amit.pdf
ARTIFICIAL INTELLIGENCE and SOFTWARE ENGINEERING Understanding the Promise of the Future – Derek Partridge.pdf
Artificial Intelligence Applications and Innovations – Bramer Max.pdf
Artificial Intelligence Strategies, Applications, and Models Through Search  ۲d ed – Christopher Thornton.pdf
Artificial Intelligence Through Prolog – Neil C Rowe.pdf
Artificial Intelligence Today Recent Trends and Development – Manuela Veloso.pdf
Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed – George F Luger.pdf
Artificial Neural Networks – Colin Fyfe.pdf
Artificial Neural Networks in Real-life Applications – Juan R. Rabunal.pdf
Basic Lisp Techniques – David J. Cooper.pdf
Building Expert Systems in Prolog – Dennis Merritt.pdf
C++ Neural Networks and Fuzzy Logic – Valluru B. Rao.pdf
Common Lisp – A Gentle Introduction To Symbolic Computation – David S. Touretzky.pdf
Common Lisp – An Interactive Approach – STUART C. SHAPIRO.pdf
Common Lisp the Language, 2nd Edition – Guy L. Steele.pdf
Computational Intelligence An Introduction – Andries P. Engelbrecht.pdf
Computational Intelligence For Decision Support – Chen.pdf
Computational Intelligence In Control – Masoud Mohammadian.pdf
Computational Intelligence in Manufacturing Handbook – Jun Wang.pdf
COMPUTATIONAL LINGUISTICSModels, Resources, Applications – Igor A. Bolshakov , Alexander Gelbukh.pdf
Computational Web Intelligence Intelligent Technology for Web Applications – Y.-Q. Zhang.pdf
Concrete Abstractions An Introduction to Computer Science Using Scheme – Max Hailperin, Barbara Kaiser, and Karl Knight.pdf
Data Mining Using Grammar Based Genetic Programming and Applications – Wong, Cheung.pdf
Data Mining with Computational Intelligence – Lipo Wang , Xiuju Fu.pdf
Dynamic Bayesian Networks Representation, Inference And Learning – Kevin Patrick Murphy.pdf
Essentials of Programming Languages 2d ed – Daniel P. FriedmanMitchell WandChristopher T. Haynes.pdf
Evolutionary Computation for Modeling and Optimization – Daniel Ashlock.pdf
Evolutionary computation, vol.1 basic algorithms and operators –  Baeck T., Fogel D.B., Michalewicz Z.djvu
Evolutionary computation, vol.2 advanced algorithms and operators  –  Baeck T., Fogel D.B., Michalewicz Z.djvu
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering – Nikola Kazabov.pdf
Foundations Of Soft Case-based Reasoning – SANKAR K. PAL.pdf
FRONTIERS OF EVOLUTIONARY COMPUTATION –  Anil Menon.pdf
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Industrial Applications – Lakhmi C. Jain , N.M. Martin.pdf
Fuzzy Expert Systems and Fuzzy Reasoning – William Siler.pdf
Genetic Programming An Introduction  On the Automatic Evolution of Computer Programs and its Applications – Morgan Kaufmann.pdf
Genetic programming Complex adaptive systems – Koza J.R..pdf
Genetic Programming Theory and Practice II – John Koza.pdf
How to Design Programs  An Introduction to Computing and Programming – Matthias Felleisen.pdf
Hybrid architectures for intelligent systems – Lotfi A. Zadeh.chm
Intelligent Communication Systems – Nobuyoshi Terashima.pdf
Intelligent Control Systems Using Soft Computing Methodologies – Ali Zilouchian.pdf
Intelligent Information Integration for the Semantic Web – Ubbo Visser.pdf
Intelligent Systems for Engineers and Scientists 2d ed – Adrian A. Hopgood.pdf
Intelligent Systems Fusion, Tracking, and Control – GeeWah Ng.pdf
Kalman Filtering and Neural Networks – Simon Haykin.pdf
Knowledge representation reasoning and declarative problem solving with Answer sets – Chitta Baral.pdf
Learn Prolog Now! – Patrick Blackburn, Johan Bos , Kristina Striegnitz.pdf
Learning And Soft Computing – Support Vector Machines, Neural Networks, And Fuzzy Logic Models – Vojislav Kecman.pdf
Learning Bayesian Networks – Neapolitan R. E..pdf
lisp book – Gary D. Knott.pdf
Logic, Programming and Prolog 2d ed – Ulf Nilsson , Jan Maluszynski.pdf
Machine Learning, Neural And Statistical Classification – Cc Taylor.pdf
Methods And Applications Of Artificial Intelligence – Themistoklis Panayiotopoulos.pdf
Methods and Procedures for the Verification and Validation of Artificial Neural Networks – Brian J. Taylor.pdf
Multiagent systems a modern approach to distributed artificial intelligence – Gerhard Weiss.pdf
Natural Language Processing for Online Applications Text Retrieval,Extraction and Categorization – Peter Jackson , Isabelle Moulinier.pdf
Neural Networks – A Comprehensive Foundation – Simon Haykin.pdf
Neural Networks Algorithms, Applications,and Programming Techniques – James A. Freeman.pdf
On LISP Advanced Techniques for Common LISP – Paul Graham.pdf
Practical Artificial Intelligence Programming in Java – Mark Watson.pdf
Practical Common Lisp – Peter Seibel.chm
Programming In Scheme – Eisenberg , Abelson.djvu
Programming Neural Networks in Java – JeffHeaton.pdf
Prolog and Natural Language Analysis – Fernando C. N. Pereira , Stuart M. Shieber.pdf
Prolog Programming A First Course – Paul Brna.pdf
PROLOG PROGRAMMING FOR ARTIFICIAL INTELLIGENCE – lvan Bratko.pdf
RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS Design and Applications – Lakhmi Jain.pdf
Recurrent Neural Networks Design And Applications – L.R. Medsker.pdf
Simply Scheme Introducing Computer Science 2d ed – Brian Harvey , Matthew Wright.pdf
Speech and Language Processing  An Introduction to Natural Language Processing, Computational Linguistics  and Speech Recognition – D.djvu
Static and Dynamic Neural Networks From Fundamentals to Advanced Theory – Madan M. Gupta, Liang Jin, Noriyasu Homma.pdf
Successful Lisp How to Understand and Use Common Lisp – David B. Lamkins.pdf
Swarm intelligence – James Kennedy.pdf
Teach Yourself Scheme in Fixnum Days –  Dorai Sitaram.pdf
The Art of Prolog  ۲nd Ed – Leon Sterling , Ehud Shapiro.pdf
The Elements of Artificial Intelligence Using Lisp – Steven L. Tanimoto.pdf
The handbook of applied expert systems  – Jay Liebowitz.pdf
The Handbook Of Brain Theory And Neural Networks 2Nd Ed – Michael A Arbib.pdf
The Handbook of Evolutionary Computation – Kenneth De Jong.pdf
The International Dictionary Of Artificial Intelligence – William Raynor.pdf
The Scheme Programming Language 3rd ed – Kent Dybvig.chm
Writing GNU Emacs Extensions – Bob Glickstein.pdf


همچنین ببینید :

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Scientific-american-magazine-collection Arduino-labview-black-and-decker-ebook-collection
سجاد نبی زاده

سجاد نبی زاده

سجاد نبی زاده مدیر سایت فروشگاه عتیقه است. سابقه 20 سال فعالیت نرم افزاری دارد. در زمینه آموزش نرم افزارهای گرافیکی و طراحی وب فعال است. روزها می نویسد و شب ها می خواند. آرشیو جامع نرم افزار و آموزش و بازی های کامپیوتری دارد. آماده همکاری با همه دوستان خوب است. با او در ارتباط باشید تماس -- کانال تلگرام

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