共 50 条
- [42] A new feedforward neural network hidden layer neuron pruning algorithm [J]. 2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 1277 - 1280
- [43] New layer-wise linearized algorithm for feedforward neural network [J]. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2001, 29 (11): : 1495 - 1498
- [44] An improved training algorithm for feedforward neural network learning based on terminal attractors [J]. Journal of Global Optimization, 2011, 51 : 271 - 284
- [47] Dynamic node creation and fast learning algorithm for a hybrid feedforward neural network [J]. 2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 202 - 205
- [48] Research on multilayer feedforward neural networks - A unitary backpropagation algorithm [J]. Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2001, 21 (01): : 30 - 35
- [49] A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks [J]. EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2009, 5755 : 928 - +