artificialintelligence

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Creating Innovative Solutions www.solutions4u-asia.com Course Highlights Artificial Intelligence (AI) may be regarded as an attempt to understand the processes of perception and reasoning that underlie successful problem solving and to incorporate the result of this research in effective computer programs. At present, AI is largely a collection of sophisticated programming technique that seek to develop systems that attempt to mimic human intelligence without claiming an understanding of the underlying processes involved. Artificial Intelligence (AI) can offer may advantages over traditional methods, such as statistical analysis, particularly where the data exhibits some form of non-linearity. Some existing application of spatial analy- sis and modeling techniques includes artificial neural networks and rule-based system fuzzy logic . Neural Network are biologically inspired and it is based on a loose analogy of the presumed working of a brain. However, if the working of the human brain are to be simulated using Neural Network, clearly, drastic simplifications must be adopted. Solutions 4U Sdn Bhd (706527-A) 72-3C, Jalan Puteri 2/4, Bandar Puteri, 47100 Puchong, Selangor, Malaysia Tel: +603-8063 9300 Fax: +603-8063 9400 Solutions 4U Pte Ltd (200713296Z) 259 Onan Road, Singapore 424651 Tel: +65 6468 3325 Fax: +65 6764 5646 www.solutions4u-asia.com enquiry@solutions4u-asia.com Artificial Intelligence: Neural Network & Fuzzy Logic Fundamentals Concept & Techniques The power of the human brain is a function of its ability to efficiently process imprecise information. To introduce this Fuzzy logic to a computational setting, the critical elements are not numbers but fuzzy sets. Which allow for quick processing of information by association of vaguely similar patterns while providing the mean to deal scientifically with subjectivity. This method has an advantage over Boolean logic in that it mimics complex human reasoning in order to arrive at realistic conclusions about the imprecise and often fuzzy nature of reality. Course Objectives “Artificial Intelligence: Neural Networks and Fuzzy Logic Fundamentals” is a two days workshop that focus on fundamental concepts and techniques for approaching artificial intelligence. This course will first discusses the fundamental principle of neural network and fuzzy logic, and then gives insight to tools available in MATLAB & SIMULINK to solve the complex and dynamic real-world problems. Numerous examples will be given to support the discussed theory. Who Must Attend Researchers, Lecturers, Scientists, Engineers and Managers that would want to use or plan to use artificial Intelligence, and to learn the fundamental knowledge in neural network and fuzzy logic using MATLAB. Technology Courses

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Page 1: ArtificialIntelligence

Creating Innovative Solutions

www.solutions4u-asia.com

Course Highlights

Artificial Intelligence (AI) may be regarded as an

attempt to understand the processes of perception and

reasoning that underlie successful problem solving and

to incorporate the result of this research in effective

computer programs. At present, AI is largely a collection

of sophisticated programming technique that seek to

develop systems that attempt to mimic human

intelligence without claiming an understanding of the

underlying processes involved.

Artificial Intelligence (AI) can offer may advantages over

traditional methods, such as statistical analysis,

particularly where the data exhibits some form of

non-linearity. Some existing application of spatial analy-

sis and modeling techniques includes artificial neural

networks and rule-based system fuzzy logic .

Neural Network are biologically inspired and it is based

on a loose analogy of the presumed working of a brain.

However, if the working of the human brain are to be

simulated using Neural Network, clearly, drastic

simplifications must be adopted.

Solutions 4U Sdn Bhd (706527-A) 72-3C, Jalan Puteri 2/4, Bandar Puteri, 47100 Puchong, Selangor, Malaysia Tel: +603-8063 9300 Fax: +603-8063 9400 Solutions 4U Pte Ltd (200713296Z) 259 Onan Road, Singapore 424651 Tel: +65 6468 3325 Fax: +65 6764 5646 www.solutions4u-asia.com [email protected]

Artificial Intelligence: Neural Network & Fuzzy Logic Fundamentals Concept & Techniques

The power of the human brain is a function of its ability

to efficiently process imprecise information. To introduce

this Fuzzy logic to a computational setting, the critical

elements are not numbers but fuzzy sets. Which allow for

quick processing of information by association of vaguely

similar patterns while providing the mean to deal

scientifically with subjectivity. This method has an

advantage over Boolean logic in that it mimics complex

human reasoning in order to arrive at realistic

conclusions about the imprecise and often fuzzy nature

of reality.

Course Objectives

“Artificial Intelligence: Neural Networks and Fuzzy Logic

Fundamentals” is a two days workshop that focus on

fundamental concepts and techniques for approaching

artificial intelligence.

This course will first discusses the fundamental principle

of neural network and fuzzy logic, and then gives insight

to tools available in MATLAB & SIMULINK to solve the

complex and dynamic real-world problems. Numerous

examples will be given to support the discussed theory.

Who Must Attend

Researchers, Lecturers, Scientists, Engineers and

Managers that would want to use or plan to use artificial

Intelligence, and to learn the fundamental knowledge in

neural network and fuzzy logic using MATLAB.

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Page 2: ArtificialIntelligence

Course Agenda

Day 1 Neural network concepts Introduction to Neural Network

Simple neuron model

Representation of neural network in MATLAB

Types of learning methods

Introduction to gradient descent

The Steepest Descent algorithm

The Back-propagation algorithm Types of neural network

Perceptrons Architecture

Training of Perceptrons Architecture of Linear Networks

The Widow-Hoff Learning Algorithms

Back-propagation Network Architecture

Training algorithms

Pre and Post processing Competitive Learning

Self-Organizing Feature Map

Application examples Case Study on Neural Network

Day 2: Fuzzy logic concepts

Introduction to Fuzzy Logic

Fuzzy sets Membership functions

Logical operations

If-Then rules Fuzzy inference systems (FIS)

Introduction to FIS

Building FIS with Fuzzy GUI

Working from the command line

Application examples Adaptive Neural-Fuzzy inference systems (ANFIS)

Sugeno-Type Fuzzy inference The ANFIS editor GUI

Working from the command line

Application examples Case Study on Fuzzy Logic

Please REGISTER Me for the Programme(s) indicated above:

Compulsory Information:

Artificial Intelligence: Neural Networks & Fuzzy Logic Fundamental Date: 17 - 18 MAY 2016 (TUE & WED)

Fees: RM 2,200 per participant + GST

10% for early bird discount ( Before 17 APR 15)

10% discount for 3 concurrent registration

How do you know about this training?

Referrals Direct Mail

Newsletter Others______________

Solutions 4U (S4U) is a leading provider of quality software products and hardware solutions and training services in Malaysia and Singapore. We provide a portfolio of course designed to meet your learning needs. These include a full engineering and technical curriculum courses.

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Creating Innovative Solutions

A Two Days Practical Hands-On Workshop

About Us

www.solutions4u-asia.com Artificial Intelligence: Neural Networks & Fuzzy-Logic Fundamentals

Name: Dr/Mr/Mrs/Ms ___________________________________________________________

(Please provide name in full, Certificate issued will be based on this name)

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Mode of Payment : I hereby confirm my registration for the ‘Artificial Intelligence” course at RM_______________ and declare that I have read and understood the

terms and conditions below.

Please note all price listed will be subjected to 6% Goods & Services Tax (GST ID No : 002118254592). Confirmation letter and official Tax Invoice will be sent once application has been approved.

Cheques should be crossed ‘A/C payee only’ and be made payable to: Solutions 4U Sdn Bhd You will be eligible for a full refund if a notice of cancellation is sent 2 weeks prior to the course com-

mencement. For cancellation less than 2 weeks prior to commencement, no refund will be made. However, you may: (1) Send a substitute or (2) Transfer the registration to another training program

within 6 months. Confirmed registrants who fail to attend without canceling their registration in advance are liable for the entire fees. Changes in course dates, venue, time, trainers and fees can occur

from time to time. Solutions 4U reserves the right to cancel or reschedule a course due to unforeseen circumstances. Every effort, however, will be made to inform participants of the change. Fees will

be refunded in FULL, if a course is cancelled by Solutions 4U.

TERMS & CONDITIONS

Please fax or send this registration form to [email protected] at Solutions 4U Sdn Bhd.

72-3C, Jalan Puteri 2/4, Bandar Puteri, 47100 Puchong, Selangor, Malaysia. Tel: (603) 8063 9300 Fax: (603) 8063 9400

Authorized Signature and Organization Stamp

Cash Cheque Bank-In or Telegraphic Local Order (LO)

Upon submission of the Registration Form, an invoice with bank details will be issued to request for payment. Registration fees must be prepaid by depositing full fee into our bank account or by issuance of a Local Order or Guarantee Letter by your Organisation to:

Solutions 4U Sdn Bhd CIMB Bank Berhad, Kinrara Branch A/C No: 8003-546 044 (Alt No: 1276 000 1017055) SWIFT CODE:CIBBMYKL