Neuro-Fuzzy Projection Pursuit Regression. T. 1Iivoshi. Ii. Nakao. H. Icliihashi arid I<.Nagasaka. Department of Iriclustrial Engineering. College of ...
The aim of PP is to find an interesting or characteristic structure by working in low-dimensional linear projections. In this paper, we propose a method based ...
This paper focuses on the use of kernel method and projection pursuit regression for non-parametric probability density estimation.
Regression and Classification by Neuro Fuzzy Projection Pursuit · T. Miyoshi, H. Ichihashi, +1 author. Keisuke Nakao · Published 1996 · Computer Science, ...
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Regression and Classification by Neuro Fuzzy Projection Pursuit. Miyoshi, Tetsuya; ;; Ichihashi, Hidetomo; ;; Nagasaka, Kazunori; ;; Nakao, Keisuke. Abstract.
Jul 24, 2023 · Projection pursuit regression (PPR) is described in Hastie et al.'s The Elements of Statistical Learning in the chapter on neural networks.
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Aug 28, 2023 · The proposed NH-PPR model can predict the hydration heat based on the four cement phases, FA, SL, cement fineness and hydration time.
This paper focuses on the use of kernel method and projection pursuit regression for non-parametric probability density estimation.
This approach combines the power of representation of fuzzy inference system with the ability of learning of the neural network.
This paper adopts slag micro-powder to replace Portland cement, together with lime and desulfurization gypsum as activators, to explore the effects of activator ...