دسته بندی کتاب های مرجع هوش مصنوعی کتاب های مرجع
کتاب های دسته بندی کتاب های مرجع هوش مصنوعی وب سایت شخصی دکتر راحیل حسینی به شرح زیر است:
Zadeh, Fuzzy Logic, Neural Networks, and Soft Computing-1994
Introduction to Fuzzy Logic using MATLAB
Fuzzy Logic Toolbox
Artificial Intelligence and Soft Computing Behavioral and Cognitive Modeling of the Human Brain
Clever Algorithms Nature-Inspired Programming Recipes
Computational Intelligence An Introduction
Introduction to Pattern Recognition A Matlab Approach
Statistical Pattern Recognition
Critique of “A New Look at Type-2 Fuzzy Sets and Type-2 Fuzzy Logic Systems”
Machine Learning and Data Mining Lecture Notes
Genetics-Based Machine Learning
Newnes.Essential MATLAB for Engineers and Scientists
INTRODUCTION TO PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS
Mining of Massive Datasets
PRACTICAL GENETIC ALGORITHMS
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models
A New Look at Type-2 Fuzzy Sets and Type-2 Fuzzy Logic Systems
Type-2 Fuzzy Logic Uncertain Systems’ Modeling and Control With contributions by Alexandre Mota Rui Escadas Martins José Tenreiro Machado
Springer Ebooks.pdf
Remembering Lotfi Zadeh
Mining Complex Data Studies in Computational Intelligence
Mendel_2016_Recent_Advances in Soft Computing
Introduction to Type-2 Fuzzy
Intelligent Soft Computatig Evolving Data Mining
image processing
Standing on the Shoulders of the Giants: From Einstein’s General Relativity and Zadeh’s Fuzzy Logic to Computers of Generation Omega
GENETIC FUZZY SYSTEMS EVOLUTIONARY TUNING AND LEARNING OF FUZZY KNOWLEDGE BASES
Hesitant fuzzy setstheory
Type-2 Fuzzy Sets as Well as Computing with Words
biological and medical physics, biomedical engineering
Advances in Type-2 Fuzzy Sets and Systems Theory and Applications
Statistics and Analysis of Scientific Data Second Edition
Principles of Data Mining
Linear and Nonlinear Programming
Introduction to Statistics and Data Analysis With Exercises, Solutions and Applications in R
Regression Modeling Strategies Frank E. Harrell, Jr. With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
Neural Networks and Deep Learning
Methods of Mathematical Modelling Continuous Systems and Differential Equations
Introduction to Evolutionary Computing
Probability Theory A Comprehensive Course
Bayesian Essentials with R
Bayesian and Frequentist Regression Methods
Robotics Modelling, Planning and Control
PROBABILITY
Frontiers of Higher Order Fuzzy Sets
Machine Learning, Neural and Statistical Classification
Introduction to Time Series Forecasting with Python How to Prepare Data and Develop Models to Predict the Future
MATLAB Deep Learning With Machine Learning, Neural Networks and Artificial Intelligence
ROC Curves for Continuous Data
Optimization Modelling A P r a c t i c a l A p p r o a c h
Deep Learning for Medical Image Analysis
Data Mining Practical Machine Learning Tools and Techniques
Common Mistakes in English
Undergraduate Topics in Computer Science
Deep Learning: Methods and Applications