Detection of Autism in Infant via EEG Using Optimization Algorithms

Satheesh Kumar N

ISBN 10: 6203854905 / ISBN 13: 9786203854909

Published by LAP LAMBERT Academic Publishing Mai 2021, 2021

About this Item

Neuware -This book deals with the detection of Autism in Infants via EEG.In chapter 1, the introduction, scope, and objectives of the research work and also the background of ASD and EEG are discussed. The remaining thesis is arranged as:Chapter 2 categorizes and briefly reviews the significant background of ASD and EEG and also reviews its optimization approaches and machine learning techniques.Chapter 3 presents the recognition of autism in kids by means of electroencephalogram behavior utilizing a PSO-centered ANFIS classifier.Chapter 4 presents the detection of autism in children by the EEG behavior using hybrid bat algorithm based ANFIS classifierChapter 5 illustrates the result section of both the proposed techniques with their corresponding performance evaluation. This section as well includes the comparison chart and analysis of the proposed technique with existing conventional methods. The chart illustrated the proposed work¿s performance. Chapter 6 Perform the conclusion task and it sufficiently highlights the prospects and future scope for further investigation.Books on Demand GmbH, Überseering 33, 22297 Hamburg 208 pp. Englisch.

Seller Inventory # 9786203854909

Bibliographic Details

• Title: Detection of Autism in Infant via EEG Using Optimization Algorithms
• Publisher: LAP LAMBERT Academic Publishing Mai 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 6203854905
• ISBN 13: 9786203854909
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 328 grams

About this title

Synopsis

This book deals with the detection of Autism in Infants via EEG.In chapter 1, the introduction, scope, and objectives of the research work and also the background of ASD and EEG are discussed. The remaining thesis is arranged as:Chapter 2 categorizes and briefly reviews the significant background of ASD and EEG and also reviews its optimization approaches and machine learning techniques.Chapter 3 presents the recognition of autism in kids by means of electroencephalogram behavior utilizing a PSO-centered ANFIS classifier.Chapter 4 presents the detection of autism in children by the EEG behavior using hybrid bat algorithm based ANFIS classifierChapter 5 illustrates the result section of both the proposed techniques with their corresponding performance evaluation. This section as well includes the comparison chart and analysis of the proposed technique with existing conventional methods. The chart illustrated the proposed work’s performance. Chapter 6 Perform the conclusion task and it sufficiently highlights the prospects and future scope for further investigation.