Learn IT - Books tags neural

Design of Experiments in Chemical Engineering: A Practical Guide

John Wiley & Sons, 2005

While existing books related to DOE are focused either on process or mixture factors or analyze specific tools from DOE science, this text is structured both horizontally and vertically, covering the three most common objectives of any experimental research:

screening designs

mathematical modeling, and...

Fuzzy Sets in Management, Economy & Marketing

World Scientific Publishing, 2002

The rapid changes that have taken place globally on the economic, social and business fronts characterized the 20th century. The magnitude of these changes has formed an extremely complex and unpredictable decision-making framework, which is difficult to model through traditional approaches. The main purpose of this book is to present the...

Auditory and Visual Sensations

Springer, 2009

The subject of the book is the grounding of architectural acoustics in psychophysics (perception, listener preferences) and neuroscience (auditory function, neural correlates of perception and preference). This is the first rational-scientific approach to designing performance spaces that is based on systematic psychoacoustical observations of...

R Deep Learning Essentials

Packt Publishing, 2016

Key Features

Harness the ability to build algorithms for unsupervised data using deep learning concepts with R

Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models

Build models relating to neural...

Image Processing Using Pulse-Coupled Neural Networks

Springer, 2005

Humans have an outstanding ability to recognise, classify and discriminate
objects with extreme ease. For example, if a person was in a large classroom
and was asked to find the light switch it would not take more than a second or
two. Even if the light switch was located in a different place than the human
expected or it was...

Artificial Organic Networks: Artificial Intelligence Based on Carbon Networks

Springer, 2013

This monograph describes the synthesis and use of biologically-inspired artificial hydrocarbon networks (AHNs) for approximation models associated with machine learning and a novel computational algorithm with which to exploit them. The reader is first introduced to various kinds of algorithms designed to deal with approximation problems and...

Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design

Springer, 2005

This book offers a comprehensive introduction to learning classifier systems (LCS) – or more generally, rule-based evolutionary online learning systems. LCSs learn interactively – much like a neural network – but with an increased adaptivity and flexibility. This book provides the necessary background knowledge on problem types,...

Beginning Application Development with TensorFlow and Keras: Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications

Packt Publishing, 2018

You need much more than imagination to predict earthquakes and detect brain cancer cells. Become an expert in designing and deploying TensorFlow and Keras models, and generate insightful predictions with the power of deep learning.

Key Features

Cover the basics of neural networks and...

Computational Intelligence, Theory and Applications: International Conference 8th Fuzzy Days in Dortmund, Germany, Sept. 29-Oct. 01, 2004

Springer, 2005

This book constitutes the refereed proceedings of the 8th Dortmund Fuzzy Days, held in Dortmund, Germany, 2004. The Fuzzy-Days conference has established itself as an international forum for the discussion of new results in the field of Computational Intelligence. All the papers had to undergo a thorough review guaranteeing a solid quality of the...

Clustering (IEEE Press Series on Computational Intelligence)

John Wiley & Sons, 2008

Clustering has become an increasingly important topic in recent years, caused by the glut of data from a wide variety of disciplines. However, due to the lack of good communication among these communities, similar theories or algorithms are redeveloped many times, causing unnecessary waste of time and resources. Furthermore, different terminologies...

Computer Science: Notable Research and Discoveries (Frontiers of Science)

Facts on File, 2010

No one is certain how much more powerful and possibly intelligent computers will become in the 21st century. Exploring six prominent topics in computer science research, this title describes how computer scientists conduct research and attempt to formulate answers to important questions. Research published in journals, presented at conferences,...

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Packt Publishing, 2018

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

Discover high-performing machine learning algorithms and understand how they work in depth

One-stop solution to mastering supervised, unsupervised, and...

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