Applications of Neural Networks: A Review
The popular neural network conferences provide a reliable indication of the trends in neural network applications. A review of the most recent conference proceedings reveals the declining, expanding, and emerging areas of neural network applications. A scan of the literature indicates that there is currently a slight decline in attempts to solve optimization problems using neural networks, while the area of character and digit recognition has successfully reached maturity. Since it is apparent that neural networks can be applied effectively in character recognition, most of the problems in this area relate to efficient design, manufacturing, and marketing of commercial neural network based character recognition systems. The check verification system developed and marketed by Mead and his team is an excellent example of the successful transition of neural networks from the laboratory to the real world. Most areas of neural network applications are currently in the transition from state-of-the-art paradigms to large-scale systems for real-world applications. This last category includes applications of neural networks in speech processing, image processing and computer vision, pattern classification and recognition, system control, and robotics. Finally, an emerging area of neural network applications is the development of systems combining fuzzy logic and neural networks.
KeywordsNeural Network Image Compression Synaptic Weight Hide Unit Output Unit
Unable to display preview. Download preview PDF.