04018nam 22006854a 450 991045408990332120200520144314.01-281-94787-39786611947873981-279-685-1(CKB)1000000000537914(EBL)1679556(OCoLC)879023757(SSID)ssj0000209602(PQKBManifestationID)11221394(PQKBTitleCode)TC0000209602(PQKBWorkID)10265972(PQKB)10968413(MiAaPQ)EBC1679556(Au-PeEL)EBL1679556(CaPaEBR)ebr10255722(CaONFJC)MIL194787(EXLCZ)99100000000053791420030110d2003 uy 0engurcn|||||||||txtccrNeural networks for intelligent signal processing[electronic resource] /Anthony ZaknichRiver Edge, NJ World Scientificc20031 online resource (510 p.)Series on innovative intelligence ;v. 4Description based upon print version of record.981-238-305-0 Includes bibliographical references and index.Contents; Acknowledgments; Foreword; Preface; 1. Introduction; 1.1 Motivation for ANNs; 1.2 ANN Definitions and Main Types; 1.3 Specific ANN Models; 1.4 ANN Black Box Model; 1.5 ANN Implementation; 1.6 When To Use an ANN; 1.7 How To Use an ANN1.8 General Applications 1.9 Pattern Recognition Examples; 1.9.1 Sheep Eating Phase Identification from Jaw Sounds; 1.9.2 Particle Isolation in SEM Images; 1.9.3 Oxalate Needle Detection in Microscope Images ; 1.10 Function Mapping and Filtering Examples1.10.1 Water Level from Resonant Sound Analysis 1.10.2 Nonlinear Signal Filtering; 1.11 Motor Control Example; 1.12 ANN Summary; References; 2. A Brief Historical Overview; 2.1 ANN History to 1970; 2.1.1 Key Events prior to 1970; 2.2 ANN History after 19702.2.1 Key Events after 1970 to the Mid 1980's 2.2.2 Developments after the Mid 1980's; 2.2.3 Nonparametric Learning From Finite Data; 2.3 Reasons for the Resurgence of Interest in ANNs; 2.4 Historical Summary ; References; 3. Basic Concepts; 3.1 The Basic Model of the Neuron3.2 Activation Functions 3.3 Topologies; 3.4 Learning; 3.4.1 A Basic Supervised Learning Algorithm; 3.4.2 A Basic Unsupervised Learning Algorithm; 3.5 The Basic McCulloch Pitts and Perceptron Models; 3.6 Vectors Spaces and Matrix Models; 3.6.1 ANN Classifiers3.6.2 Vectors and Feature SpacesThis book provides a thorough theoretical and practical introduction to the application of neural networks to pattern recognition and intelligent signal processing. It has been tested on students, unfamiliar with neural networks, who were able to pick up enough details to successfully complete their masters or final year undergraduate projects. The text also presents a comprehensive treatment of a class of neural networks called common bandwidth spherical basis function NNs, including the probabilistic NN, the modified probabilistic NN and the general regression. ContentsSeries on innovative intelligence ;v. 4.Neural networks (Computer science)Signal processingDigital techniquesIntelligent control systemsElectronic books.Neural networks (Computer science)Signal processingDigital techniques.Intelligent control systems.006.3/2Zaknich Anthony872863MiAaPQMiAaPQMiAaPQBOOK9910454089903321Neural networks for intelligent signal processing1948620UNINA04237nam 2201249z- 450 991055779900332120210501(CKB)5400000000045413(oapen)https://directory.doabooks.org/handle/20.500.12854/68575(oapen)doab68575(EXLCZ)99540000000004541320202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSex, Gender and Substance UseBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (272 p.)3-0365-0200-9 3-0365-0201-7 "Sex, Gender and Substance Use" describes how both biological and social factors affect people's use of substances. There is a lot of research carried out on substance use, prevention and treatment in which sex and gender are missing. This book describes the concepts of sex and gender, what they mean and why including them in substance use research, practice and policy is vital. Substances such as alcohol, drugs, nicotine, and tobacco all have differential effects on females and males. Social and cultural gendered factors affect how women and men react to prevention, treatment and policies. The book includes numerous examples of how sex- and gender-sensitive research can increase our understanding and improve prevention and treatment, and why striving for gender-transformative substance use practice and research remains a gold standard.HumanitiesbicsscSocial interactionbicsscabortionadolescentsalcoholalcohol consumptionalcohol's harms to othersattitudesbarriersbrief interventioncannabiscannabis use disordercigarettesclient perspectivesclinical decision support systemscognitionscollege campusdevelopmental-relationaldevelopmental-relationaldomestic violencedrinkingdrinking cultureselectronic cigarettesfacilitatorsFASDFASD preventionfathersgendergender equalitygender equitygender normsgender relationsgender rolesgender transformativegender-specific approachhealth promotionhomophobic bullyinghookahillegal substance useinterpersonal violenceinterventionlifestylemalesmulti-service program deliverynicotinenon-medical prescription opioid usepolicypolytobacco usepregnancypreventionprogram evaluationpublic healthrandomized controlled trialresearchscoping reviewsecond-hand smokesexsex differencessex factorssex- and gender-based analysissexual minoritiesSGBASGBA+sleep disturbancesmoke-free homesmokingsmoking cessationSpainsubstance abusesubstance usesubstance use preventiontechnologytobaccowaterpipewomenyoung adultsHumanitiesSocial interactionGreaves Lorraineedt1105766Greaves LorraineothBOOK9910557799003321Sex, Gender and Substance Use3024572UNINA