Author Description
An introduction to neural networking for systems designers, software developers, programmers, and advanced hobbyists. The authors explain how "brain-style" computing will revolutionize information processing in the 21st century. The disk includes programs for simulating artificial neural networks.
Menrva's Summary
THE THESIS
This text investigates the fundamental principles of neural network architecture and its practical application in modern information processing systems. The authors, James Drosen and Ramachandran Bharath, provide a technical framework for understanding how brain-style computing models can be implemented by software developers and systems designers. By bridging theoretical concepts with executable code, the book aims to equip practitioners with the tools necessary to integrate neural computing into existing software environments.
THE SCOPE MAP
What You Will Find
- Theoretical foundations of artificial neural networks
- Practical simulation methodologies for neural computing
- Software implementation strategies for systems designers
- Included disk containing functional simulation programs
Scope Limits
- Does not cover advanced deep learning architectures developed post-publication
- Excludes complex mathematical proofs beyond introductory requirements
THE AUTHORITY PERSPECTIVE
Readers frequently note the practical utility of the included simulation software for understanding basic network behaviors. Experts highlight this as a foundational text for beginners seeking to grasp the early mechanics of neural network design.
Page Count:
208
Publication Date:
1994-01-01
Publisher:
Mcgraw-Hill (Tx)
ISBN-10:
0070051453
ISBN-13:
9780070051454
Mathematics
Machine Learning
Certification
Computer Science
Programming
Science & Math
Software Engineering