nearest neighbor analysis 中文意思是什麼
nearest neighbor analysis
解釋
緊鄰分析法-
The nearest neighbors of each individual and the distances between each individual - neighbor pair in elaeagnus mollis communities were obtained by using the nearest neighbor ' s analysis. based on the primary results above, the spatial pattern and interspecific segregation in the communities were studied by x2 test with a subtable method of a n n nearest - neighbor contingency table
應用最近鄰體法判定每個個體的最近鄰體植株，得到每個基株-最近鄰體種對的距離，進而採用n n最近鄰體列聯表的截表法，研究了翅果油數群落的種間分離。 -
In this paper, subjects mainly focused are as follows : to meet with the requirement of forward business and the establishment of mid - long term generation planning of hydroelectric plant, the yearly runoff and the monthly runoff are studied in this paper, providing many kinds models that suited to min - long term runoff forecast, including the time series analysis, the nearest neighbor bootstrap regressive model, the grey topological model, recession curve model, threshold auto regression, mean generating function, and ann model etc. the forecast result proves that these models are useful
本文從以下幾方面進行了較為深入的研究： （ 1 ）為了滿足水電廠的期貨交易及編制水電站中長期發電計劃的需要，本文對年、月徑流預測進行了研究，提出了徑流中長期預測模型，包括：時間序列模型、最近鄰抽樣回歸模型、灰色拓撲預測、退水曲線模型、門限自回歸模型、均生函數模型及神經網路模型等，從預測成果來看，效果較好。 -
Data mining is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data or known as knowledge - discovery in databases ( kdd ). to do this, data mining uses computational techniques from statistics, machine learning and pattern recognition such as discriminate analysis, regression method, mathematical programming, decision tree, k - nearest neighbor, artificial neural network etc. although many positive attempts are done, the development and application of personal credit assessment model in chinese bank industry is still in its infancy
數據挖掘是20世紀90年代後期人工智慧和數據庫領域興起的一種數據處理和知識發現（ kdd ）理論，是從大量的、不完全的、有噪聲的、模糊的和隨機的實際應用數據中，提取隱含在其中的信息和知識的過程。對數據進行分類和預測是數據挖掘的主要功能。數據挖掘用於信用評估的優勢主要在於: （ 1 ）能處理和修正實際數據問題，演算法模型具有自檢 -
In this dissertation, base on the review and analysis of current mainstream algorithms and techniques, we build up whole rtr system, and study some efficient recognition methods for different radar characters. the major research work and contributions in this dissertation are summarized as below : 1. summarized current popular pattern recognition methods, this dissertation researched in the algorithms and performances of nearest neighbor ( nn ) classifier, multi - layer perceptron and rbfn ( radial basis function network )
本文在總結當前主流雷達目標識別演算法的基礎上，建立起基於gbr的雷達目標識別系統，並且對彈道導彈的各種特識別方法進行了研究，主要進行的工作和創新有: 1 .研究和總結了當前常用的分類識別方法，針對雷達目標識別的特點，對近鄰分類器、多層感知器和徑向基函數網路（ rbfn ）分類器的演算法和性能進行了研究。
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