A special arrangements between School of Computer Science, Universiti Sains and Trity Technologies Sdn. Bhd.

WHO SHOULD ATTEND? Researchers, Lecturers, Scientists, Engineers and Managers who are keen to use artificial neural network for your application. This hands-on application course with case studies is designed for SCILAB users who intend to use

SCILAB in the areas of Neur al Network and Fuzzy Logic.

Dates : 26 & 27 Augu st 2014 (Tuesday & Wednesday)

Time : 9:00 a.m. – 5:00 p.m.

Venue : Kompleks ЄUREKA, Universiti Sains Malaysia, .

in collaboration with: COURSE FEE (Covers course materials, refreshment including lunches and Certificate of Attendance)

MYR 850.00 per participant (wholly -owned by Universiti Sains Malaysia)

(Co. No. 473883-H) HRDF : 0159 GROUP: MYR 750.00 per participant    (Minimum 3 participants from the same company / organisation)

 STUDENT: MYR 450.00 per participant Participants  (Proof of I.D. is compulsory)  are required (No Group Discount available)

to bring

laptop.

HRDF Claimable* *Subject to HRDF Approval INTRODUCTION BIOGRAPHY OF THE PRESENTER

Neural network and fuzzy logic are two main fields in MR. TAN WOOI HEONG graduated with a First Class artificial intelligence to simulate human intelligence in Degree in Electrical & Electronics Engineering from machine. Neural network is a computational and Swinburne University of Technology, Melbourne engineering methodology based on emulating how Australia in 1999. Upon his graduation, he was engaged nature has implemented biological brain (in particular, in the sales and technical application engineer and the brain's massively parallel and learning aspects). As subsequently as a manager looking into customer’s such, it holds promise for significant impact on how need on sales, technical and application requirement of important classes of scientific and engineering MATLAB and Simulnk for more than 8 years. problems are solved. Neural networks are an He was also involved in application training for customer adaptable system that approximates the operation of too. Realizing that technical training and application the human brain and the central nervous system. consultation are ever needed, he is now a Technical Consultant with Trity Technologies in providing technical A neural network usually involves a large number of and consultation services with SCILAB, open source processors operating in parallel, each with its own software for numerical computation. Wooi Heong also small sphere of knowledge and access to data in its conducts training on fundamentals of SCILAB, Image local memory. Neural Networks can learn from noisy Processing and Artificial Intelligence. data and generalize on unseen data to provide a very powerful machine learning paradigm. MR. TAN CHIN LUH received his First Class Honour Fuzzy logic is a form of multiple-valued logic which Degree in Electrical Engineering from Universiti deals with reasoning that is approximate rather than Teknologi Malaysia (UTM), majoring in Control fixed and exact. It represent the human brain better Engineering, and his Master Degree in Computer and Compared to binary sets (where variables may wither Communication Engineering from Universiti true or false. Fuzzy logic variables may have a value Putra Malaysia (UPM). With extensive experience and that ranges in degree between 0 and 1. Fuzzy logic knowledge makes him an exceptional technical member has been extended to handle the concept of partial in real-time embedded control, data acquisition system, truth, where the truth value may range between speech recognition system, image processing and completely true and completely false. automation system. He has completed several projects for industry players (Agilent, Avago, and TNB) in the Current applications of neural networks and fuzzy logic field of image processing & analysis for camera quality include: oil exploration data analysis, weather measurement, speech recognition using neural network, prediction, pattern recognition, the interpretation of and real-time control implementation using high-level nucleotide sequences in biology labs, the exploration programming approach. He was also successfully of models of thinking and consciousness in addition to developed control based course information for the many other applications. teaching of control subjects incorporating technical software and laboratory equipment hardware. Chin Luh is the author/developer for the SCILAB module for Artificial Intelligence. COURSE METHODOLOGY

This is a hands-on application course that provides RECOMMENDED ACCOMMODATION step-by-step description while concentrating on useful tips and tricks to construct Neural Network and fuzzy USM GUEST HOUSE (inside USM compound) inference system, fundamentals and its applications. Universiti Sains Malaysia, 11800 Minden, Penang. (M) : Ms. Ruzana (+6012 – 581 4702) (T) : +604 – 653 2030 / +604 – 653 2050 (E) : [email protected] ENQUIRIES

Technical : HOTEL VISTANA (Nearby Bukit Jambul Shopping Complex) Dr. Ibrahim Venkat 213, Jalan Bukit Gambir, Bukit Jambul School of Computer Sciences 11950 Penang. Universiti Sains Malaysia, Penang. (M) : Ms. Roslinda (+6018 – 308 5876) (T) : +604 – 653 4753 (T) : +604 – 646 8000 (M) : +6017 – 531 0866 (F) : +604 – 646 1400 (E) : [email protected] (E) : [email protected] (W): http://www.vistanahotels.com/VistanaPG/Default.aspx

Registration and others: Khairol Anuar Hazir Mohammed B-SUITE (Nearby Bukit Jambul Shopping Complex) USAINS Holding Sdn. Bhd. B Tower, Bayan Point, 19, Medan Kampung , (T) : +604 – 653 5714 11900 , Penang. (M) : +6012 – 286 9048 (M) : Ms. Hazliza (+6016 – 458 3568) (T) : +604 – 646 7777 / +604 – 644 4000 (Reservation) (E) : [email protected] / (E) : [email protected] / [email protected] [email protected] (W) : http://www.b-suite.com.my/

Artificial Intelligence with SCILAB CourseContentsandTentativeSchedule 

DAY 1 1. Introduction to Neural Network.  Definition of neural network.  Biological perspective of neural network.  Neural network applications.  Simple neuron model.  Components of simple neuron.  SCILAB representation of neural network.  Single neuron model.  Neural network with single-layer of neurons.  Neural network with multiple-layer of neurons.

2. Perceptrons.  Introduction.  The perceptron architecture.  Training of perceptrons.  Application examples.

3. Linear Networks.  Introduction.  Architecture of linear networks.  The Widrow-Hoff learning algorithm.  Backpropagation Networks.

DAY 2 4. Backpropagation Networks.  Introduction.  Architecture of backpropagation network.  The backpropagation algorithm.  Training algorithms  Pre- and post-processing.  Application examples.

5. Self-Organizing Maps.  Introduction.  Competitive learning.  Self-organizing maps.  Application examples.

6. Introduction to Fuzzy Logic.  What is fuzzy logic?  Fuzzy sets and Membership functions.  If-then rules.

7. Fuzzy Inference Systems (FIS).  Introduction to FIS.  Programming FIS.  Building FIS with user interface.  Application examples.

Disclaimer The Organizer reserves the right to reschedule or cancel any part of its published programme or venue due to unforeseen circumstances and will not accept liability for costs incurred by participants or their organizations for the cancellation of travel arrangements and/or accommodation reservations because of the course being cancelled or postponed. Advance notice will be given if there is such a change or cancellation.

REGISTRATION FORM

ARTIFICIAL INTELLIGENCE WITH SCILAB

Send registration form to: Khairol Anuar, Usains Holding Sdn. Bhd., Level 2, Block C, Sains@USM, No.10, Persiaran Bukit Jambul, 11900 Bayan Lepas, Penang. Fax : +604 – 643 0490 or Email : [email protected] / [email protected]

NO. PARTICIPANT NAME POSITION & EMAIL

1.

2.

3.

4.

5.

Company:

Address:

Postcode:

Contact Person: Tel No.: Fax No.:

E-mail: Mobile No:

MODE OF PAYMENT NUMBER BANK NO. OF PARTICIPANT MYR

I enclosed Cheque Normal

Bank Draft Group

Money Order Student

LO / PO Total

Cheque / Bank Draft / Money Order / LO / PO must be made payable to ‘ USAINS HOLDING SDN. BHD. ’.

1. BANK TRANSFER [PLEASE FAX YOUR BANK-IN SLIP (PRINT YOUR NAME & DETAILS ON THE SLIP)]. Payee Name : USAINS Holding Sdn. Bhd. Details : ARTIFICIAL INTELLIGENCE WITH SCILAB – AUGUST 2014. Name of Bank : CIMB Bank Berhad (USM Branch), Universiti Sains Malaysia, 11800 USM Penang. Account Number : 800 – 381 – 7364

2. A LOCAL ORDER (LO) OR PURCHASE ORDER (PO) MUST BE PRESENTED BEFORE THE EVENT. The Organizer reserves the right to refrain a registered participant from taking part in the event if no proof of payment can be presented. This only applies to registered participants who have NOT paid the registration fee PRIOR to the event date.

3. CANCELLATION / SUBSTITUTION A refund less administration fee of MYR 250.00 will be given for cancellations received at least 10 working days before the start date of the course. No refund will be made after this period. However, substitute participants are welcome at no extra charge if a written notice of at least 5 working days before the event is given to the Organizer.