-
Chapter
The Novel Characterizing Method of Collective Behavior Pattern in PSO
Although swarm intelligence algorithms have attracted extensive attention, there is little research on the behavior of collective dynamics. Inspired by the moving patterns of fish school, we propose a visualiz...
-
Article
Protein Subcellular Localization Prediction Model Based on Graph Convolutional Network
Protein subcellular localization prediction is an important research area in bioinformatics, which plays an essential role in understanding protein function and mechanism. Many machine learning and deep learni...
-
Chapter and Conference Paper
Correction to: Crossed-Time Delay Neural Network for Speaker Recognition
The book was inadvertently published with a typo in the third author’s name “**aoshu Shi”, i.e., an extra “s” was added whereas it should have read “**aohu Shi”. This has been now corrected with the erratum.
-
Chapter and Conference Paper
Crossed-Time Delay Neural Network for Speaker Recognition
Time Delay Neural Network (TDNN) is a well-performing structure for deep neural network-based speaker recognition systems. In this paper we introduce a novel structure, named Crossed-Time Delay Neural Network ...
-
Chapter and Conference Paper
ESAE: Evolutionary Strategy-Based Architecture Evolution
Although deep neural networks (DNNs) play important roles in many fields, the architecture design of DNNs can be challenging due to the difficulty of input data representation, the huge number of parameters an...
-
Article
Boost particle swarm optimization with fitness estimation
It is well known that the classical particle swarm optimization (PSO) is time-consuming when used to solve complex fitness optimization problems. In this study, we perform in-depth research on fitness estimati...
-
Article
Open AccessA robust fuzzy rule based integrative feature selection strategy for gene expression data in TCGA
Lots of researches have been conducted in the selection of gene signatures that could distinguish the cancer patients from the normal. However, it is still an open question on how to extract the robust gene fe...
-
Article
Open AccessUnderstanding the commonalities and differences in genomic organizations across closely related bacteria from an energy perspective
The availability of a large number of sequenced bacterial genomes facilitates in-depth studies about why genes (operons) in a bacterial genome are globally organized the way they are. We have previously discov...
-
Chapter and Conference Paper
Hierarchical Solving Method for Large Scale TSP Problems
This paper presents a hierarchical algorithm for solving large-scale traveling salesman problem (TSP), the algorithm first uses clustering algorithms to large-scale TSP problem into a number of small-scale col...
-
Chapter and Conference Paper
A POD-Based Center Selection for RBF Neural Network in Time Series Prediction Problems
Center selection based on proper orthogonal decomposition (POD) is presented to select centers for the radial basis function (RBF) neural network in prediction of nonlinear time series. The proposed method tak...
-
Chapter and Conference Paper
Improved Bacterial Foraging Algorithms and Their Applications to Job Shop Scheduling Problems
Bacterial foraging algorithm is a novel evolutionary computation algorithm proposed four years ago, which is based on the foraging behavior ofE.coli bacteria living in human intestine. In this paper an improved o...
-
Chapter and Conference Paper
Multi-category Classification by Least Squares Support Vector Regression
Multi-category classification is a most interesting problem in the fields of pattern recognition. A one-step method is presented to deal with the multi-category problem. The proposed method converts the proble...
-
Chapter and Conference Paper
Medicine Composition Analysis Based on PCA and SVM
Medicine analysis becomes more and more important in our production and life, especially the composition analysis for medicines. Available data are characterized by small amount and high dimensionality. Suppor...
-
Chapter and Conference Paper
Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems
Generalized Traveling Salesman Problem (GTSP) is one of the challenging combinatorial optimization problems in a lot of applications. In general, GTSP is more complex than Traveling Salesman Problem (TSP). In ...
-
Chapter and Conference Paper
Equivalence of Classification and Regression Under Support Vector Machine Theory
A novel classification method based on regression is proposed in this paper and then the equivalences of the classification and regression are demonstrated by using numerical experiments under the framework of...
-
Chapter and Conference Paper
A Modified Integer-Coding Genetic Algorithm for Job Shop Scheduling Problem
An operation template is proposed in this paper for describing the map** between operations and a subset of natural numbers. With such operation template, a job shop scheduling problem (JSSP) can be transfor...
