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2009年09 期
| 標(biāo)題 |
| 基于改進(jìn)的BP神經(jīng)網(wǎng)絡(luò)的產(chǎn)品生產(chǎn)成本估算(18 卷) |
| 英文標(biāo)題 |
| Production cost prediction of product based on improved BP artificial neural network |
| 摘要 |
| 基于BP神經(jīng)網(wǎng)絡(luò)的成本估算模型，利用全局搜索能力較強(qiáng)的遺傳算法優(yōu)化BP神經(jīng)網(wǎng)絡(luò)連接權(quán)，克服傳統(tǒng)的BP算法易陷入最小值的缺點(diǎn)，使模型預(yù)測性能、預(yù)測精度和泛化能力得到有效改進(jìn)。以列車轉(zhuǎn)向架為例，建立產(chǎn)品生產(chǎn)成本GA-BP估算模型，通過8組檢測樣本檢驗(yàn)訓(xùn)練好的遺傳人工神經(jīng) |
| 作者 |
| 新聞作者:周 輝，楊 岳，謝素超，程立志，宋加佳 |
| 關(guān)鍵字 |
