International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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KERNAL BASED INTEGRATION OF NEURAL NETWORK AND ANT COLONIZATION ALGORITHM FOR EASY OPTIMIZATION OF TWO DIMENSIONAL DIAGRAMS

    2 Author(s):  DR. G. S. KATKAR, V.R. NIKAM

Vol -  9, Issue- 3 ,         Page(s) : 266 - 291  (2018 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

This paper evaluating the critical fundamental of pattern and object detection technique, with full scale integration of kernel. Totally integrated separate result of ant colonization algorithm and neural network. The cross correlation data have histogram data, it also have kernel for our test image; integrating all this in one we have developed the full scale model for ACO and NN technique. It has calculated the error bound for this data, as well as we have checked the efficiency of this algorithm in terms of speed of computation, efficiency of memory allocation and pixel definition. Keywords : Neural Network, Kernel, canvolisation

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