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 additional information.

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Course Descriptions: Search Results

CPS 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

CSE 885 Artificial Neural Networks

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Not open to students with credit in:
EE 885
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.
Interdepartmental With:
Electrical and Computer Engineering
Administered By:
Electrical and Computer Engineering
Effective Dates:
US99 - US11

CSE 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

CSE 885 Artificial Neural Networks

Semester:
Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Not open to students with credit in:
EE 885
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.
Interdepartmental With:
Electrical and Computer Engineering
Administered By:
Electrical and Computer Engineering
Effective Dates:
FS11 - US24

ECE 885 Artificial Neural Networks

Semester:
Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Not open to students with credit in:
EE 885
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.
Interdepartmental With:
Computer Science and Engineering
Administered By:
Electrical and Computer Engineering
Effective Dates:
FS11 - US24

ECE 885 Artificial Neural Networks

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Not open to students with credit in:
EE 885
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.
Interdepartmental With:
Computer Science and Engineering
Administered By:
Electrical and Computer Engineering
Effective Dates:
US99 - US11

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