Course Materials
56:230 Innovation Science and Studies
Lecture
Supplements Available at ICON
Part
1
Introduction
to Innovation Science
Part 2
Overview
of Evolutionary Computation
Genetic
Programming 1
Genetic
Programming 2
Genetic
Programming 3
Genetic
Programming Applications
Part
4
Evolutionary
Programming
Part 5
Evolutionary
Strategy Algorithm
Part 6
Introduction
to Neural Networks
Neural
Networks: Examples
Evolving
Neural Networks 1
Evolving
Neural Networks 2
Radial
Basis Neural Network
Part
7
Solution
Representation
Part 8
Text
Mining
Text
Mining and Innovation
Part
9
Introduction
to Data Mining
Entropy
Part
10
Decision
Tree Algorithm
Features
Discretization
Part
11
Data
Mining Software
Part
12
Association
Rule Mining
Part
13
Clustering
Part
14
Bayesian
Algorithm
Part
15
Support
Vector Machine 1
Support
Vector Machine 2
Part
16
Introduction
to Fuzzy Logic
Part
17
Transformed
Data Sets
Part
18
Invariant
Objects
Ethics
Corner