用於快速訓練、驗證和應用回歸/近似網路的免費軟體。快速修剪演算法創建不同大小網路的嵌套序列。包括多層感知器（MLP）、功能鏈路網路、分段線性網路、自組織圖（SOM）和K-Means聚類。提供了用於應用訓練網路的C原始程式碼，以便用戶可以在自己的應用程式中使用網路。使用者提供的 txt 格式訓練數據檔（包含數位列）可以是任何大小。還提供了培訓數據示例。包括用於網路訓練錯誤和集群形成的快速 VB 圖形。軟體中提供了廣泛的幫助檔。 Numap7 是高度自動化的，需要使用者很少選擇參數。進階功能包括快速 MLP 訓練演算法（比 BP 和 LM 更快、更好）、輸入功能選擇、無用單元（用於 MLP）的修剪（消除）和 PLN 模組。訓練和驗證錯誤與網路大小不同。提供用於計數模式、刪除列、合併檔、拆分檔、計算列均值和標準偏差以及繪製列直方圖的實用程式。訓練數據可以使用離散的 Karhunen-Loeve 轉換 （KLT） 進行壓縮。此免費軟體版本的 Numap7 將 MLP 限制在 10 個隱藏單元，將 PLN 限制在 10 個群集。可升級至缺乏這些限制的商業版本。此軟體的分類（決策）版本（稱為 Nuclass7）也可用。Numap7.0由位於阿靈頓的德克薩斯州大學圖像處理和神經網路實驗室和神經決策實驗室有限責任公司開發。
版本歷史記錄
- 版本 7.06 發佈於 2005-04-06
改進的説明、更快的 MLP 驗證、改進的功能選擇
軟體細節
- 軟體分類： 業務 > 數學與科學工具
- 發佈者： Neural Decision Lab LLC
- 軟體性質： 免費
- 價格： N/A
- 版本： 7.06
- 作業系統： windows
終端使用者許可協定
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