BOOKS - PROGRAMMING - Neural Networks, Fuzzy Logic and Genetic Algorithms Synthesis a...
Neural Networks, Fuzzy Logic and Genetic Algorithms Synthesis and Applications, 2nd Edition - S. Rajashekaran and G.A. Vijayalksmi 2017 AZW3 | EPUB Prentice-Hall BOOKS PROGRAMMING
ECO~32 kg CO²

2 TON

Views
25895

Telegram
 
Neural Networks, Fuzzy Logic and Genetic Algorithms Synthesis and Applications, 2nd Edition
Author: S. Rajashekaran and G.A. Vijayalksmi
Year: 2017
Format: AZW3 | EPUB
File size: 50 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks
Artificial Intelligence and Brain Research Neural Networks, Deep Learning and the Future of Cognition
A Beginner|s Guide to Medical Application Development with Deep Convolutional Neural Networks
Domain-Specific Computer Architectures for Emerging Applications Machine Learning and Neural Networks
Artificial Intelligence Machine Learning, Convolutional Neural Networks and Large Language Models
Artificial Intelligence and Brain Research: Neural Networks, Deep Learning and the Future of Cognition
Artificial Intelligence Machine Learning, Convolutional Neural Networks and Large Language Models
Artificial Intelligence and Brain Research Neural Networks, Deep Learning and the Future of Cognition
The Fuzzy Papers: Little Fuzzy and Fuzzy Sapiens
Applied Deep Learning Design and implement your own Neural Networks to solve real-world problems
Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification by Antonios K. Alexandridis (2014-05-05)
Introduction to Lattice Algebra With Applications in AI, Pattern Recognition, Image Analysis, and Biomimetic Neural Networks
Think AI Explore the flavours of Machine Learning, Neural Networks, Computer Vision and NLP with powerful python libraries
Building Computer Vision Applications Using Artificial Neural Networks With Examples in OpenCV and TensorFlow with Python 2nd Edition
Building Computer Vision Applications Using Artificial Neural Networks With Examples in OpenCV and TensorFlow with Python 2nd Edition
Machine Learning The Ultimate Beginners Guide For Neural Networks, Algorithms, Random Forests and Decision Trees Made Simple
The Python Bible 7 in 1 Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)
Fuzzy, Rough and Intuitionistic Fuzzy Set Approaches for Data Handling: Theory and Applications (Forum for Interdisciplinary Mathematics)
Golden Dream: A Fuzzy Odyssey (Fuzzy Sapiens, #5)
Deep Learning Demystified A Step-by-Step Introduction to Neural Networks
Power Converters and AC Electrical Drives with Linear Neural Networks (Energy, Power Electronics, and Machines)
Artificial Intelligence An Illustrated History From Medieval Robots to Neural Networks (Sterling Illustrated Histories)
Neural Networks and Animal Behavior (Monographs in Behavior and Ecology, 29)
Build Your Own Neural Networks Step-By-Step Explanation For Beginners
Quantum Machine Learning Quantum Algorithms and Neural Networks
Quantum Machine Learning Quantum Algorithms and Neural Networks
Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks
Learning Deep Learning Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow
Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python
Artificial Intelligence: An Illustrated History: From Medieval Robots to Neural Networks (Union Square and Co. Illustrated Histories)
Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks
Fuzzy Ergo Sum (Fuzzy Sapiens, #8)
Python Machine Learning For Beginners An introduction to neural networks and a brief overview of the processes you need to know when programming computers and coding with Python
Learning Deep Learning Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow (Rough Cuts)
Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets (Advances in Computer Vision and Pattern Recognition)
Fuzzy Bones (Fuzzy Sapiens, #4)
Caveat Fuzzy (Fuzzy Sapiens, #9)
Artificial Intelligence What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
Machine Learning with Python The Ultimate Guide for Absolute Beginners with Steps to Implement Artificial Neural Networks with Real Examples (Useful Python Tools eg. Anaconda, Jupiter Notebook)
Machine Learning for Beginners A Math Guide to Mastering Deep Learning and Business Application. Understand How Artificial Intelligence, Data Science, and Neural Networks Work Through Real Examples