ECE 488 Computer Engineering Design I Fall 2005 Hau Ngo Ming Zhang

Agenda Administrative Discussion Administrative Discussion –Syllabus –Schedule etc. Project Discussion Project Discussion Milestone 1 (due today) Milestone 1 (due today) Grouping Grouping

Administrative Discussion

Project Discussion Brain Characteristics Brain Characteristics –Approximately neurons and interconnections –A neuron receives, processes and transmits electrochemical signals neuron axons axon synapses dendrites......

Project Discussion Artificial Neural Network Artificial Neural Network –Biologically inspired networks –Massively parallel architecture –Dense arrangements of interconnections and simple computing elements x0x0 x1x1 x N-1  Net j f (.) yjyj w j0 w j1 w j(N-1)  f(.)

Project Discussion Adaptive Resonance Theory (ART) based Self-Organizing Neural Network Adaptive Resonance Theory (ART) based Self-Organizing Neural Network –Capable of rapid stable learning of recognition categories –Example: Categorize people based on: Categorize people based on: –Age –Gender –Height –Hair color –Eye color –Ethnicity, etc.

Project Discussion The learning and categorization algorithm of Binary-ART Network The learning and categorization algorithm of Binary-ART Network –For each input and a category j, calculate choice function T j –Chosen category is indexed by J so that –For the chosen category, calculate the match function ρ’ –If chosen category meet vigilance criterion (ρ’≥ ρ), learning the new input by updating weight W J –Else, select the next category calculate the match function ρ’ –If no match is found, new category is created

Project Discussion Category Weight Input Calculation I = Since this is the first input, the input form the first category/group Weight if this category is W 1 = I (1) W 1 = ρ = 0.4

Project Discussion Category Weight Input Calculation (1) W 1 = ρ = 0.4 I = Calculate choice function with respect to Category 1 Choose max. choice function Calculate match function for W 1 ρ’< ρ  create a new category/group (2) W 2 =

Project Discussion Category Weight Input Calculation (1) W 1 = ρ = 0.4 I = Calculate choice function with respect to Category 1, 2 Choose max. choice function Calculate match function for W 2 ρ’≥ ρ  I joins category 2; update W 2 (2) W 2 = (2) W 2 =

Project Discussion Specifications Specifications –Binary-ART Network –8-bit input data –Design and implement ONE neuron in EPLD (limitation in resource) –Complete network with microcontroller PC Microcontroller (M68HC11) EPLD

Milestones 1. Test and verify EPLD programming hardware. Wire up the EPLD, program it using the ByteBlaster and verify the function of the programmed EPLD. (August 29, 2005) 2. Design and simulate the neural network processor in high level language e.g. C/C++ (September 12, 2005) 3. Design and simulate a neuron circuit. The simulation results should show the EPLD input the data, read the synaptic weights, compute the net value, perform threshloding and modify the synaptic weights. (September 26, 2005) 4. Build and test the neuron hardware on the EPLD. Program, debug and verify the capabilities listed in milestone 3. (October 17, 2005) 5. Interface the EPLD directly with the M68HC11. The hardware design should include way to monitor the internal operations. (October 31, 2005) 6. Build and test the complete neural processor. Interface with the M68HC11. In addition, develop a program that runs on the M68HC11 that can input any desired inputs into the neural processor. (November 21, 2005) 7.Final report and project demonstration. Final report should include a description of the design, design processes, design decisions and design trade-offs presented in a clear and cohesive fashion. (December 5, 2005)

Milestone 1 Compile and Simulate a simple circuit (e.g. an AND gate) Compile and Simulate a simple circuit (e.g. an AND gate) Program circuit onto Max7000s chip Program circuit onto Max7000s chip Verify the functionality of the circuit Verify the functionality of the circuit Steps to program Max7000s chip can be found in the handouts Steps to program Max7000s chip can be found in the handouts Demo? Demo?

Grouping Form groups of 3 Form groups of 3 Groups are responsible for partition tasks among group members Groups are responsible for partition tasks among group members Define responsibility each member clearly and early Define responsibility each member clearly and early One person in each group signs for: One person in each group signs for: –Altera’s Board –Byteblaster Cable –Power Supply