Combined orthogonal vector and pseudo-inverse approach for robust pattern recognition

A neural-based orthogonal vector with a pseudo-inverse approach for pattern recognition is presented. A method for generating N orthogonal vectors for an N-neuron network is also presented. This approach converges the input to the corresponding orthogonal vector representing the prototype vector. Moreover, it can restore an image to the original image and thus has error recovery capability. Patterns with 20% error were recognized, using English capital latters as an example. The robustness of this approach is obvious