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检索条件"主题词=Training algorithm"
209 条 记 录,以下是151-160 订阅
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A Study on Single and Multi-layer Perceptron Neural Network  3
A Study on Single and Multi-layer Perceptron Neural Network
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3rd International Conference on Computing Methodologies and Communication (ICCMC)
作者: Singh, Jaswinder Banerjee, Rajdeep KIIT Univ Sch Comp Engn Bhubaneswar India KIIT Univ Sch Mech Engn Bhubaneswar India
Perceptron is the most basic model among the various artificial neural nets, has historically impacted and initiated the research in the field of artificial nets, with intrinsic learning algorithm and classification p... 详细信息
来源: 评论
The neural network model based on PSO for short-term load forecasting
The neural network model based on PSO for short-term load fo...
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5th International Conference on Machine Learning and Cybernetics
作者: Sun, Wei Zhang, Ying-Xia Li, Fang-Tao North China Elect Power Univ Dept Econ & Management Baoding 071003 Peoples R China Jiangsu Huaneng Huaiyin Power Plan Dept Engn Huaiyin 223001 Peoples R China
A new algorithm for load forecasting--the neural network model based on Particle Swarm Optimization (PSO-NN) for short-term load forecasting is proposed in this paper. The method is simple, easy to realize and its con... 详细信息
来源: 评论
On Optimal Control Scheme Based on Feedforward and Inverse Models of Artificial Neural Network
On Optimal Control Scheme Based on Feedforward and Inverse M...
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International Conference on Computer Science and Education (CSE 2011)
作者: Qu, Dongcai Zhao, Guorong Cao, Dong Lu, Jianhua Lu, Binwen Dept Control Engn Naval Aeronaut Yantai 264001 Peoples R China Naval Fly Acad PT-125000 Huludao Peoples R China
The mostly optimum control questions were based on precise mathematical model of the controlled object at present, and only aimed at the few parameters implementation optimization control. Because it was very difficul... 详细信息
来源: 评论
A soft sensing method based on process neural network
A soft sensing method based on process neural network
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IEEE International Conference on Information Acquisition
作者: Liu Zaiwen Lian Xiaoqin Wang Zhenaxiang Wang Xiaoyi Hou Chaozhen Beijing Technol & Business Univ Sch Informat Engn Beijing 100037 Peoples R China Beijing Inst Technol Sch Informat Sci & Technol Beijing 100081 Peoples R China
A new method of soft sensing based on process neural network (PNN) is proposed in this paper. PNN is an extent of traditional neural network, and it is a new configuration of artificial neural network put forward in r... 详细信息
来源: 评论
Wavelet Neural Network Applied to Power Disturbance Signal in Distributed Power System
Wavelet Neural Network Applied to Power Disturbance Signal i...
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21st Chinese Control and Decision Conference
作者: Huang Weili Du Wei Hebei Univ Engn Handan 056038 Peoples R China
The power system load equipment is more sensitive to power quality disturbances than equipment applied in the past. Therefore, the electric supply quality has become a major concern of electric utilities and end-users... 详细信息
来源: 评论
A SYNTHETIC NEURAL INTEGRATED-CIRCUIT
A SYNTHETIC NEURAL INTEGRATED-CIRCUIT
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1989 IEEE CONF ON CUSTOM INTEGRATED CIRCUITS ( CICC 89 )
作者: AKERS, LA WALKER, M GRONDIN, R FERRY, D Center for Solid State Electronics Research Arizona State University Tempe AZ 85287-6206 United States
Integrated circuits are approaching biological complexity in device count. Biological systems are fault tolerant, adaptive, and trainable, and the possibility exists for similar characteristics in ICs. The authors rep... 详细信息
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Optimistic bias in the assessment of high dimensional classifiers with a limited dataset
Optimistic bias in the assessment of high dimensional classi...
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International Joint Conference on Neural Networks (IJCNN)
作者: Chen, Weijie Brown, David G. US FDA Silver Spring MD 20993 USA
It is commonly recognized that using the same dataset for training and testing the classifier introduces optimistic bias in estimating classifier performance. However, bias of the same kind may still exist even when i... 详细信息
来源: 评论
A training method for SpikeProp without redundant spikes - Removing unnecessary sub-connections during training
A training method for SpikeProp without redundant spikes - R...
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International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
作者: Takutoshi Nakayama Takashi Matsumoto Haruhiko Takase Hiroharu Kawanaka Shinji Tsuruoka Graduate School of Engineering Mie university Tsu Mie 514-8507 Mie university Tsu Mie 514-8507
SpikeProp, which is proposed by Bohte and extended by Booij, is a type of multi-layer networks of spiking neurons. Our research group has proposed a training algorithm for SpikeProp without redundant output spikes. Ho... 详细信息
来源: 评论
Designing Stepped Impedance Microstrip Low-Pass Filters Using Artificial Neural Network at 1.8 GHz
Designing Stepped Impedance Microstrip Low-Pass Filters Usin...
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3rd International Conference on Communication Systems and Network Technologies (CSNT)
作者: Kushwah, Vivek Singh Tomar, Geetam S. Bhadauria, Sarita Singh Amity Sch Engn & Technol Dept Elect Gwalior India
In this paper a design technique for a Stepped impedance Microstrip Low-pass filters is presented by using the artificial neural network (ANN) modeling method. Required dimensions of the microstrip filter layout are u... 详细信息
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Performance of wavelet analysis and neural network for detection and diagnosis of rotating machine fault
Performance of wavelet analysis and neural network for detec...
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7th International Symposium on Instrumentation and Control Technology
作者: Kang Shanlin Kang Yuzhe Chen Jingwei Hebei Univ Engn Sch Sci Handan 056038 Peoples R China Beijing Univ Chem Technol Diag & Self Recovery Engn Res Ctr Beijing 100029 Peoples R China
A novel approach combining wavelet transform with neural network is proposed for vibration fault diagnosis of turbogenerator set in power system. The multi-resolution analysis technology is used to acquire the feature... 详细信息
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