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A Novel FNN Algorithm and Its Application on M&A Performance Evaluation Based on Kirkpatrick Model
2008 Edition, December 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The mergers and acquisitions (M&A) performance measurement is an important tool to test the M&A effects, evaluate the validity of M&A decision-making, and which is an important part in the M&A management. But how to...

A Novel FNN Algorithm and Its Application in FCC Evaluation Based on Kirkpatrick Model
2010 Edition, January 1, 2010 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

For a long time, the necessary funds of entire electric power industry is fully funded by the government or mandatory financial loans due to the monopoly of the electric power industry and the government acts, and which results in the research on the electric power...

Integration of Fuzzy Neural Network Algorithm and Kirkpatrick Model and Its Application on FFPL Performance Measurement
2008 Edition, Volume 2, December 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

As fresh farm produce occupies a pivotal position in the daily lives, the fresh farm produce logistics (FFPL) accompanied by it has become a rising industry in the logistics industry. Evaluating the performance of the fresh farm produce logistics and finding the...

Knowledge transfer between networks and its application on gait recognition
2016 Edition, October 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Convolutional neural network (CNN) has achieved promising results in many vision tasks. However, a deep CNN model requires long training process and consumes large amounts of storage space. In this paper we propose a novel framework to boost the speed and...

Weigted-KNN and its application on UCI
2015 Edition, August 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

K nearest neighbor classification algorithm (KNN) is one of relatively simple method in data mining classification techniques, study and research KNN classification algorithm for data classification and data mining technology has a very important significance. An...

A novel learning rate function and its application on the SVD++ recommendation algorithm
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The recommendation algorithm based on Singular Value Decomposition (SVD)++ is a widely used algorithm for its good prediction performance. However, with the rapid increase of data in smart societies, the poor computational performance of the...

Broadband Low-RCS Metasurface and Its Application on Antenna
2016 Edition, Volume 64, July 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents a metasurface (MS) with broadband low radar cross section (RCS) and investigates its application on antenna. The MS is composed of polarization-dependent artificial magnetic conductors (PDAMCs) for backscattering cancellation. By orthogonally...

Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper proposes a suite of methods to realize high precision pose measurement in 3-D Cartesian space based on a multicamera microscopic vision system. Since it is inefficient to develop a specific image algorithm for each kind of object and the...

A Novel Learning Rate Function and Its Application on the SVD++ Recommendation Algorithm
2020 Edition, Volume 8, January 1, 2020 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The recommendation algorithm based on Singular Value Decomposition (SVD)++ is a widely used algorithm for its good prediction performance. However, with the rapid increase of data in smart societies, the poor computational performance of the...

GB-InSAR Special Issues during its Applications on DEM Generation
2019 Edition, November 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Ground-based interferometric synthetic aperture radar (GB-InSAR) technology is becoming an important terrain mapping technology as it has the characteristics of short observation intervals, flexible operation environment and high data precision. Compared with air/space borne InSAR...

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