'Neural network models' diaporamas de présentation

2d-3D Structure Modelling

1.52k views • 116 slides

The Elements of Statistical Learning

960 views • 63 slides

Objectives of Presentation

Data Mining: Neural Network Applications by Louise Francis CAS Annual Meeting, Nov 11, 2002 Francis Analytics and Actuarial Data Mining, Inc. louise_francis@msn.com. Objectives of Presentation. Introduce insurance professionals to neural networks

658 views • 48 slides

Credit Rating Analysis with Support Vector Machines and Neural Networks: A Market Comparative Study

Credit Rating Analysis with Support Vector Machines and Neural Networks: A Market Comparative Study. Zan Huang, Hsinchun Chen, Chia-jung Hsu, Andy Chen, Soushan Wu AI Seminar Artificial Intelligence Lab The University of Arizona 08/16/2002. Agenda. Introduction Credit Risk Analysis

696 views • 41 slides

Collaborative Filtering 101

Collaborative Filtering 101. Adnan Masood www.AdnanMasood.com. About Me aka. Shameless Self Promotion. Sr. Software Engineer / Tech Lead for Green Dot Corp. (Financial Institution) Design and Develop Connected Systems

597 views • 37 slides

Text Mining

Text Mining. Presenter: Hanmei Fan. Definition. Text mining also is known as Text Data Mining (TDM) and Knowledge Discovery in Textual Database (KDT).[1] A process of identifying novel information from a collection of texts (also known as a corpus). [2]. Data Mining process directly

561 views • 37 slides

Multilayer Perceptrons

Multilayer Perceptrons. A discussion of The Algebraic Mind Chapters 1+2. The General Question. What are the processes and representations underlying mental activity?. Also referred to as parallel -distributed processing (PDP) or neural network models

644 views • 36 slides

ENISI Tool Suite

ENISI Tool Suite. Yongguo Mei PhD in ECE June 10, 2014. ENISI Tool Suite. ENISI: ENteric Immune SImulator A suite of mathematical and computational modeling tools, inclduing ENISI ABM Agent-based modeling (covered) ENISI SDE, stochastic differential equations

508 views • 35 slides

PERCEPTION OF MUSIC & LANGUAGE

466 views • 30 slides

Memory III Working Memory & Brain

Memory III Working Memory & Brain. Atkinson & Shiffrin (1968) Model of Memory. Visual Sensory Store. It appears that our visual system is able to hold a great deal of information but that if we do not attend to this information it will be rapidly lost. Sperling (1960)

1.43k views • 29 slides

Artificial Intelligence

420 views • 26 slides

Predicting volatility: a comparative analysis between GARCH Models and Neural Network Models

Predicting volatility: a comparative analysis between GARCH Models and Neural Network Models. MCs Student: Miruna State Supervisor: Professor Moisa Altar - Bucharest, June 2002 -. Contents. Introduction Models for return series GARCH models Mixture Density Networks Aplication and results

595 views • 24 slides

Neural Network

Neural Network. Ming-Feng Yeh ( ??? ) Department of Electrical Engineering Lunghwa University of Science and Technology E-mail: mfyeh@mail.lhu.edu.tw Office: F412-III Tel: #5518. COURSE OBJECTIVE.

660 views • 21 slides

Perception, Thought and Language as Graded Constraint Satisfaction Processes

203 views • 20 slides

Speaker ???? ID ? 19967034 Date ? 11/24/2010

National Taiwan Ocean University Department of Communications, Navigation and Control Engineering. An Extended BAM Neural Network Model Miao Zhenjiang, Yuan Baozong Institute of Information Science Northern Jiaotong University Beijing 100044,P.R.China. Speaker ???? ID ? 19967034

326 views • 19 slides

Semantic Memory

533 views • 18 slides

Time series forecasting using a hybrid ARIMA and neural network model

1.06k views • 18 slides

274 views • 18 slides

Automated Transcription of Polyphonic Piano Music A Brief Literature Review

Automated Transcription of Polyphonic Piano Music A Brief Literature Review. Catherine Lai MUMT-611 MIR February 17, 2005. 1. Outline of Presentation. Introduction transcription of polyphonic music targeted on specific instruments Current state-of-the-art: various approaches

267 views • 14 slides

Purpose

Output unit. AN. Weights. IN n. IN n+1. IN n. IN n+1. IN n+1. IN n. IN n. IN n+1. IN n+1. IN n+1. Input units. t-?. t-?. t. Figure 4. Generation of STRFs through ripples. Methods Neural network

140 views • 1 slides