Pattern Recognition In Neural Networks
n this paper, we review some pattern recognition learning methods and the models published in recent years.
With the fast advancement of computer architecture, machine learning, and computer vision, computational complexity is
possible to be dealt with and more and more new ways of thinking are brought into the research of pattern recognition. The
Multi-Layer Perceptron algorithm for classification in pattern recognition to adept to a particular situation.The objective of
this paper is to provide better ability of learning and adoption. Machine learning and pattern recognition complement with
each other, which means concepts of pattern recognition could be used for a design of proper learning algorithm, while
learning algorithm could be used to enhance the result of pattern recognition.