Fuzzy neural network combines the learning capacity of artificial neural networks with the interpretability of the fuzzy systems. A novel structure learning algorithm for fuzzy neural networks (SLNN) is presented in t...
详细信息
Fuzzy neural network combines the learning capacity of artificial neural networks with the interpretability of the fuzzy systems. A novel structure learning algorithm for fuzzy neural networks (SLNN) is presented in this paper. The neurons of SLNN are created and adapted as online learning proceeds. The learning rule of SLNN is based on Hebb as well as soft competitive learning. The soft competitive learning cannot only let SLNN be able to learn from new data but also prevent it from losing the knowledge that has been learned earlier. To obtain a concise fuzzy rule, a pruning algorithm is adopted in SLNN, which does not disobey the basic design philosophy of fuzzy system. simulations are performed on the primary benchmarks: circle-in-the-square, two spirals apart, UCI machine learning archive's synthetic control chart time series, and KDDCUP'99 data set. Compared with fuzzy ARTMAP, BP and hierarchical neuro-fuzzy quadtree (HNFQ), the fuzzy neural network achieves higher performance.
Most of real-life scheduling problems are semi online. Recently, how to solve such dynamic problems is a hot topic in the research of artificial intelligence. The semi on-line scheduling is introduced and the constrai...
详细信息
Most of real-life scheduling problems are semi online. Recently, how to solve such dynamic problems is a hot topic in the research of artificial intelligence. The semi on-line scheduling is introduced and the constraint models are analyzed and categorized. By defining the relevant concept of monotony about constraints that appear in general dynamic constraint models, a kind of constraint extending is formalized. Based on this dynamic constraint modeling, a sound dynamic constraint solving algorithm is designed to deal with the scheduling problems. Finally, an application example of semi on-line discrete resource scheduling problems is given. Experiments show that the algorithm is valid.
In this paper, we put forward a fast simplification method for the terrain model by integrating the discrete particle swarm optimization with the hierarchical structure. In this method, each particle is represented as...
详细信息
Velocity threshold is an important parameter to affect the performance of particle swarm optimization. In this paper, a novel velocity threshold automation strategy is proposed by incorporated with Leávy probabil...
详细信息
It is very important in the field of bioinformatics to apply computer to perform the function annotation for new sequenced bio-sequences. Based on GO database and BLAST program, a novel method for the function annotat...
详细信息
It is very important in the field of bioinformatics to apply computer to perform the function annotation for new sequenced bio-sequences. Based on GO database and BLAST program, a novel method for the function annotation of new biological sequences is presented by using the variable-precision rough set theory. The proposed method is applied to the real data in GO database to examine its effectiveness. Numerical results show that the proposed method has better precision, recall-rate and harmonic mean value compared with existing methods.
Geographical Information System (GIS) integrates operation and synthesis analysis of multi-factor information, satisfying the demand of high efficiency and visual performance in human computer Interaction, whereas Pee...
详细信息
Based on the platform of DEFORM-3D, 3D FE model of precision forging process of the blade with a damper platform has been built by rigid-viscoplastic FEM. The influence laws of upper die velocity on precision forging ...
详细信息
Based on the platform of DEFORM-3D, 3D FE model of precision forging process of the blade with a damper platform has been built by rigid-viscoplastic FEM. The influence laws of upper die velocity on precision forging process of the blade with a damper platform were simulated and analyzed. And the distribution of effective stress field, maximum principal stress field and curves of load vs. displacement were obtained. A suggestion for the shape design of final forging was proposed according to the maximum principal stress field. The obtained results provide a significant basis for determining technological parameters of the blade forging process.
The inhibitory effects of allelochemicals of Arundo donax Linn,extracted by the solvents with different polarities including methanol,ethyl acetate and hexane on the growth of Microcystis aeruginosa w
The inhibitory effects of allelochemicals of Arundo donax Linn,extracted by the solvents with different polarities including methanol,ethyl acetate and hexane on the growth of Microcystis aeruginosa w
Gene expression is the transformational procedure from genetic information of genome to proteome which affect the life activities of cells. The Regulation of gene expression determines the structure, quantity and func...
详细信息
The difficulties of modeling complex knowledge system lie in a large quantity of knowledge rules and the difficulty in organizing rules and grasping their mutual logical relationships. This article proposed a concept ...
详细信息
The difficulties of modeling complex knowledge system lie in a large quantity of knowledge rules and the difficulty in organizing rules and grasping their mutual logical relationships. This article proposed a concept of hierarchical fuzzy Petri nets (HFPN), which is more suitable for modeling complex knowledge system than other fuzzy Petri net models. In addition, the concepts of abstract place and abstract transition in HFPN are allowed to describe and analyze the knowledge system at diverse abstract levels. Therefore, using HFPN, the iterative and incremental methods can be applied to modeling complex knowledge system. In addition, structured approach can be naturally applied to the process of modeling knowledge system.
暂无评论