Learn IT - Books tags neural

Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)

Springer, 2013

This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges...

Supervised Sequence Labelling with Recurrent Neural Networks

Springer, 2012

Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range...

Handbook of Neural Network Signal Processing (Electrical Engineering & Applied Signal Processing)

CRC Press, 2001

A comprehensive reference book for practical engineers and researchers focusing on neural network applications on signal processing, this text concerns itself with a vast array of signals. Among included signals, readers will find information on audio, video, speech, communication, geophysical, sonar, radar and medical signals. Written for those...

Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems

Prentice Hall, 1996

Fuzzy systems and neural networks have attracted the growing interest of researchers, scientists, engineers, practitioners, and students in various scientific and engineering areas. Fuzzy sets and fuzzy logic are based on the way the brain deals with inexact information, while neural networks (or artificial neural networks) are modeled...

Unity 2017 Game AI Programming - Third Edition: Leverage the power of Artificial Intelligence to program smart entities for your games

Packt Publishing, 2018

Use Unity 2017 to create fun and unbelievable AI entities in your games with A*, Fuzzy logic and NavMesh

Key Features

Explore the brand-new Unity 2017 features that makes implementing Artificial Intelligence in your game easier than ever

Use fuzzy logic concepts in your AI...

Aided Navigation: GPS with High Rate Sensors

McGraw-Hill, 2008

Design Cutting-Edge Aided Navigation Systems for Advanced Commercial & Military Applications

Aided Navigation is a design-oriented textbook and guide to building aided navigation systems for smart cars, precision farming vehicles, smart weapons, unmanned aircraft, mobile robots, and other advanced applications....

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes (Lecture Notes in Control and Information Sciences)

Springer, 2008

The book is mainly focused on investigating the properties of locally recurrent neural networks, developing training procedures for them and their application to the modelling and fault diagnosis of non-linear dynamic processes and plants.

The material included in the monograph results from research that has been carried out at the Institute of...

Soft Computing for Problem Solving: SocProS 2018, Volume 2 (Advances in Intelligent Systems and Computing)

Springer, 2019

This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers,...

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition

Morgan Kaufmann, 2005

This book presents this new discipline in a very accessible form: both as a text to train the next generation of practitioners and researchers, and to inform lifelong learners like myself. Witten and Frank have a passion for simple and elegant solutions. They approach each topic with this mindset, grounding all concepts in concrete examples,...

Introduction to Machine Learning (Adaptive Computation and Machine Learning)

MIT Press, 2004

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed...

Information Technology for Management: Transforming Organizations in the Digital Economy

John Wiley & Sons, 2004

Siemens AG (siemens.com) is a German-based 150-year old diversified and global manufacturer. With 484,000 employees, Siemens does business in 190 countries and has 600 manufacturing and research and development facilities in over 50 countries. Its product lines and services are extremely varied, including communication and information,...

Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks

Packt Publishing, 2018

Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner

Key Features

Get a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guide

Train different types of neural networks using Tensorflow for...

Result Page: 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3