en Hybrid Systems Analysis and Design Hybrid Systems Analysis and Design Research Paper Research Paper This paper presents the results of Persian handwritten word recognition based on Mixture of Experts technique. In the basic form of ME the problem space is automatically divided into several subspaces for the experts, and the outputs of experts are combined by a gating network. In our proposed model, we used Mixture of Experts Multi Layered Perceptrons with Momentum term, in the classification Phase. We produce three different Mixture of Experts structure. Experimental result for proposed method show an error rate reduction of 6.42 % compare to the mixture of MLPs experts. Comparison with some of the most related methods indicates that the proposed model yields excellent recognition rate in handwritten word recognition. Mixture of Experts,Persian Handwritten Word Recognition,Neural Network Ensembles,OCR, 217 224 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-137-2&slc_lang=en&sid=1 R. Ebrahimpour ebrahimpour@ipm.ir 180031947532846001681 180031947532846001681 Yes Brain and Intelligent Systems Lab., Department of Electrical and Computer Engineering, Shahid Rajaee Teacher Training University Lavizan, Tehran, Iran. S. Sarhangi somayehsarhangi@yahoo.com 180031947532846001682 180031947532846001682 No Department of Mechatronics , Islamic Azad University south Tehran Branch,Tehran,Iran F. Sharifizadeh sharifizadeh@gmail.com 180031947532846001683 180031947532846001683 No MSc Student, Department of Mathematics and Computer Science, University of Tehran, P.O. Box 14155-6455, Enghelab Avenue, Tehran, Iran