Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for versions prior to Fall 2000.

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EE 885  Artificial Neural Networks

Description:
Overview of neuro-engineering technology. Basic neural network architectures. Feedforward and feedback networks. Temporal modeling. Supervised and unsupervised learning. Implementation. Basic applications to pattern recognition.
Effective Dates:
FS92 - SS99


ECE 885  Artificial Neural Networks

Semester:
Fall of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Description:
Overview of neuro-engineering technology. Basic neural network architectures. Feedforward and feedback networks. Temporal modeling. Supervised and unsupervised learning. Implementation. Basic applications to pattern recognition.
Semester Alias:
EE 885
Effective Dates:
US99 - US11


ECE 885  Artificial Neural Networks

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Description:
Overview of neuro-engineering technology. Basic neural network architectures. Feedforward and feedback networks. Temporal modeling. Supervised and unsupervised learning. Implementation. Basic applications to pattern recognition.
Semester Alias:
EE 885
Effective Dates:
FS11 - Open