Neural NetworkChao-Hsuan Shen, Kevin Widjaja, Harshini Chandrashekar
We already know...
Introduction
BackGround
Related Research
Project in Industry
Methodology
Initial State
Random connection of Neurons.
Initial weight ==1
All the neurons will have a threshold point
Mechanisms
Reweight
If a A neuron fires to B and if B fires
back, the weight of A→ B will increase.
Re-connect
Randomly increase the weight from 0 to1
Language
Tool
Physical Architecture
Parameters
Neuron
threshold
timeout
Supervisor
neuron per node
neighbor ratio
Observer
input ratio
timeout
Output(1)
Output(2)
Output(3)
Output(4)
Abnormal case??
Discussion
"The project leaves me more questions
than answers! "
Lucas Shen
Questions & Problems
Randomness
Simulating God’s product vs Playing
God?
neighbor ratio, input, sample interval.......
Simultaneous and parallel?
build upon this project
build upon this project
Quantitative formalization
@#$%^&*()(*&^%$#$xZSDH
Multi-threading performance
first project need supercomputer for
real
General future studies
Computer Science
NeuronScience
Connection between the two
CS?
Rethink computation + Networking
1+1? recognize a face? Inspiration?
Parallel processing
100 billion simple neurons could let
you cry and smile, even Love.
Corpus Callosum
NeuroScience
Physical tool: "Seeing is believing"
NeuroScience
Mental tool: "Where hierachical structure
fails"
So Long..