Multi-layered GMDH-type Neural Network Algorithm Using Principal Component-Regression Analysis and PSS Criterion
نویسندگان
چکیده
منابع مشابه
Modelling of some soil physical quality indicators using hybrid algorithm principal component analysis - artificial neural network
One of the important issues in the analysis of soils is to evaluate their features. In estimation of the hardly available properties, it seems the using of Data mining is appropriate. Therefore, the modelling of some soil quality indicators, using some of the early features of soil which have been proved by some researchers, have been considered. For this purpose, 140 disturbed and 140 undistur...
متن کاملNeural Network Training Using a GMDH Type Algorithm
Authors have developed a Group Method of Data Handling (GMDH) type algorithm for designing multilayered neural networks. The algorithm is general enough that it will accept any number of inputs and any sized training set. Each neuron of the resulting network is a function of two of the inputs to the layer. The equation for each of the neurons is a quadratic polynomial. Several forms of the equa...
متن کاملMulti-hop Range-Free Localization Algorithm For Wireless Sensor Network Using Principal Component Regression
In this paper, a novel approach to multi-hop range-free localization algorithm in wireless sensor network is proposed using principal component regression. The localization problem in the wireless sensor network is formulated as a multiple regression problem, which is resolved by principal component regression. The proposed methods are simple and efficient that no additional hardware is require...
متن کاملImproved Neural Network Performance Using Principal Component Analysis on Matlab
Most of the real-world data samples used to train artificial neural networks (ANNs) consist of correlated information caused by overlapping input instances. Correlation in sampled data normally creates confusion over ANNs during the learning process and thus, degrades their generalization capability. This paper proposes the Principal Component Analysis (PCA) method for elimination of correlated...
متن کاملAdvanced Web Usage Mining Algorithm using Neural Network and Principal Component Analysis
Web Usage Mining becomes a vital aspect in network traffic analysis. Previous study on Web usage mining using a synchronized Clustering, Neural based approach has shown that the usage trend analysis very much depends on the performance of the clustering of the number of requests. Self Organizing Networks is useful for representation of building unsupervised learning, clustering, and Visualizati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
سال: 2013
ISSN: 2188-4730,2188-4749
DOI: 10.5687/sss.2013.273