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³æÓÑÃÇ£¬ÎÒÐ޸ĸ屻¾ÜÁË£¬Èý¸öÈË£¬¾ÍµÚ¶þ¸öÉó¸åÈ˲»Í¬Ò⣬ÁíÍâÁ½¸ö¶¼Í¬Òâ·¢±í£¬ÎҰѱ༷¢À´µÄП½ÔÚÏÂÃæ£¬Âé·³´ó¼Ò°ïÎÒ³ö³öÖ÷Ò⣬ÏÖÔÚ¸ÄÔõô°ì£¿ ÉêËß»¹ÊǾÍÕâôÈÌÁË£¿ ÁíÇóÉêËßÄ£°æ Ref.: Ms. No. NEUCOM-D-12-01498R1 Finite-time boundedness for a class of delayed Markovian jumping neural networks with partly unknown transition probabilities Neurocomputing Dear Dr Cheng, Please find below the referee reports. Based on these and in particular to serious concerns of Reviewer #2, I have to reach the sad conclusion that your paper cannot be accepted for publication in Neurocomputing. I hope that the referees' comments and suggestions are nevertheless useful and can help you improving your scientific work and/or presentation. Hereby I would like to thank you for submitting your work to Neurocomputing and welcome you to consider us again in the future. Sincerely, Tom Heskes Editor in Chief Neurocomputing Reviewers' comments: Reviewer #1: The new version is written clearer and I think that the paper is suitable for publication. Reviewer #2: The paper has been significantly improved, but there are still some points are not clear enough. 1. Since "the transition rates of jumping process in this paper are still considered to be accessed in this paper", Why "the transition probabilities matrix considered in this paper is more general assumption to Markovian jump systems"? 2. I don't think it is clear enough of the remark, Remark 6, for equations (20), (21) and others. What is its physical meaning? 3. A paper from the same authors has been submitted to Journal of Applied Mathematics(JAM) with similar techniques as that in this paper to some extent. Therefore, I don't think it is suitable to be published. Reviewer #3: I think this paper can be accepted by the revision. |
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