發(fā)布時(shí)間：2019-01-15 20:39

【摘要】：通過提取對(duì)陶瓷企業(yè)定價(jià)的影響因素,采用了灰色關(guān)聯(lián)度分析法,構(gòu)造了陶瓷企業(yè)定價(jià)的評(píng)價(jià)模型,得到了各個(gè)因素之間的灰色關(guān)聯(lián)度,從而確定各因素對(duì)陶瓷企業(yè)定價(jià)影響的關(guān)鍵因素,結(jié)合廣義回歸神經(jīng)網(wǎng)絡(luò)模型,采用組合輸入向量建立陶瓷定價(jià)的組合廣義回歸神經(jīng)網(wǎng)絡(luò)預(yù)測模型.實(shí)例表明:模型比其它模型的預(yù)測值更加精確,并且算法能應(yīng)用到其它數(shù)據(jù)處理中,具有較廣泛的適應(yīng)性.
[Abstract]:By extracting the influencing factors on the pricing of ceramic enterprises and adopting the grey relational degree analysis method, the evaluation model of the pricing of ceramic enterprises is constructed, and the grey correlation degree among the various factors is obtained. Therefore, the key factors affecting the pricing of ceramic enterprises are determined. Combined with the generalized regression neural network model, the combined input vector is used to establish the combined generalized regression neural network prediction model for ceramic pricing. Examples show that the model is more accurate than other models, and the algorithm can be applied to other data processing, and has a wide range of adaptability.
【作者單位】： 景德鎮(zhèn)陶瓷學(xué)院信息工程學(xué)院;
【基金】：國家自然科學(xué)基金(61262038,61202313) 2013教育部人文社科基金(13YJA760064) 江西省自然科學(xué)基金(20122BAB201016,20122BAB211033) 2013景德鎮(zhèn)市科研項(xiàng)目
【分類號(hào)】：F224;J527-F

【參考文獻(xiàn)】

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本文編號(hào)：2409083