| Springer Nature B.V.

66,000원  | 20230127  | 9783031241062

The work will be a reanalysis and reconceptualization of the concept of apraxia. Apraxia is currently understood as a motor speech disorder but an analysis of the neural network properties of apraxia indicate a more complex and far reaching disorder with implications for intentionality, motor coordination and motor control of response inhibition in a variety of human behavioral and emotional reactions.

 | KS OmniScriptum Publishing

103,980원  | 20121116  | 9783659301841

Artificial Neural Network is perhaps most widely used Intelligent tool.There are various features of ANN;which makes it very efficient and it became an integral part in the field of artificial intelligence.One of the important application of ANN is time series prediction.ANN has the ability to predict various non linear parameters.The use of ANN for the Chaotic Time Series prediction is demonstrated in this book.

 | KS OmniScriptum Publishing

117,190원  | 20120724  | 9783846531976

The issue of fair valuation of real estate has been a major challenge in many countries. However, in recent times a number of techniques and models have been introduced to promote fair valuation of housing units. It is in the light of the above, that this work developed, trained and applied three artificial neural network breadboards to evaluate over 3000 residential real estate transactions from two major cities in Nigeria.

Rashid, Tariq  | Createspace Independent Publishing Platform

69,700원  | 20160331  | 9781530826605

A step-by-step gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

Sapuan, S. M.  | Taylor & Francis

308,450원  | 20210101  | 9781420093322

Offers an understanding of the various applications of artificial neural networks (ANN) in working with and improving composite material technology. This title provides a review of the literature and then presents the research on neural network approaches for defect detection in various composite materials.

 | KS OmniScriptum Publishing

136,990원  | 20130304  | 9783659352041

Neural networks deviate from other models by their ability to map inputs to the outputs and build complex relationships among variables without specifying them explicitly. In this work we provide an extensive literature survey of the related problems and study several approaches, including conventional predictive methods. As a result of our analysis we propose two new methods, the multi-context recurrent networks and the hybrid networks, i.e.

Poznyak, Tatyana, Chairez Oria, Jorge Isaac, Poznyak, Alex  | Elsevier Science

281,470원  | 20181111  | 9780128128473

On her own in this mysterious, deadly place, surrounded by darkness and the unknown, Gyre must overcome more than just the dangerous terrain and the Tunneler which calls underground its home if she wants to make it out alive-she must confront the ghosts in her own head.

 | Scholars' Press

181,560원  | 20140217  | 9783639711141

This book proposes Artificial Neural Network (ANN) Applications for Smart grids and Energy Systems as a one of powerful artificial intelligence nonlinear regression techniques. This study is carried out to emphasize on the importance of ANN in many categories and for undergraduate, graduate students, engineers, and researchers.

 | Springer Nature B.V.

66,000원  | 20221002  | 9783031164019

This book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are Banach space valued. These are induced by a great variety of activation functions deriving from the arctangent, algebraic, Gudermannian, and generalized symmetric sigmoid functions. Ordinary, fractional, fuzzy, and stochastic approximations are exhibited at the univariate, fractional, and multivariate levels.

Jha, Ashish Ranjan  | Packt

49,000원  | 20210212  | 9781789614381

Master advanced techniques and algorithms for deep learning with PyTorch using real-world examplesKey FeaturesUnderstand how to use PyTorch 1.

James Loy  | Packt Publishing

31,000원  | 20190902  | 9781789138900

This book contains practical implementations of several deep learning projects in multiple domains, including in regression-based tasks such as taxi fare prediction in New York City, image classification of cats and dogs using a convolutional neural network, implementing a facial recognition security system using Siamese Neural Networks, and more.

Fabio M. Soares, Alan M.F. Souza  | Packt Publishing

29,000원  | 20160801  | 9781785880902

Create and unleash the power of neural networks by implementing professional Java code About This Book * Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition * Explore the Java multi-platform feature to run your personal neural networks everywhere * This step-by-step guide will help you solve real-world problems and links neural network theory to their application Who This Book Is For This book is for Java developers with basic

Filo, Orna  | Wiley

118,170원  | 20091221  | 9780470500941

Information Processing by Biochemical Systems describes fully delineated biochemical systems, organized as neural network--type assemblies.

 | Springer Nature B.V.

66,000원  | 20160413  | 9789812873064

This Brief presents the impact of climatic abnormalities on hydropower potential of different regions of the World. In this regard, multi-criteria decision making and neural network are used to predict the impact of the change cognitively by an index. The results from the study show that the hydro-energy potential of the Asian region is mostly vulnerable with respect to other regions of the World.

 | Orange Education Pvt Ltd

65,930원  | 20231104  | 9789391246549

Master Neural Networks for Building Modern AI Systems.DESCRIPTIONThis book is a practical guide to the world of Artificial Intelligence (AI), unraveling the math and principles behind applications like Google Maps and Amazon. The book starts with an introduction to Python and AI, demystifies complex AI math, teaches you to implement AI concepts, and explores high-level AI libraries.Throughout the chapters, readers are engaged with the book through practice exercises, and supplementary learnings.