initial weights
DISTANCE OF THE INITIAL WEIGHTS OF TREE PARITY MACHINE DRAWN FROM DIFFERENT DISTRIBUTIONS
... initialized weights values as ...their initial weights values and the input vectors which are also ran- domly generated at each step of ...the initial weights of the network are drawn, ...
6
TD(0) Replay: An Efficient Model Free Planning with full Replay
... its weights to the same initial values in every time step ...same initial weights at every set of imaginary experience, only its š š targets are changing according ...
9
Object detection using ensemble of linear classifiers with fuzzy adaptive boosting
... resent a linear classifier with a feature and its threshold value without loss of generality. The Adaboost algorithm sequentially chooses some set of features that are effective for classifying training data. Initially, ...
10
An Empirical Evaluation of AdaBoost Extensions for Cost Sensitive Classification
... chan, in their paper of AdaCost [11], which is based on the intuition that in addition to assigning high initial weights to costly examples like in case of Tingās Boosting, Cost-Boosting[r] ...
8
Research on the Acquisition Algorithm of Ontology Meta model in Medical Domain Knowledge
... the initial weight of the feature ...the initial weights of the feature items are from large to small sort, the weight of the smallest two feature items is selected, then the weight of the medical ...
6
PID Neural Network Motor Synchronization Control Based on the Improved PSO Algorithm
... the initial weights is random, also avoid the disadvantages for the traditional PSO search precision is low and late iterative efficiency is not ...layer weights are set for fixed values according to ...
11
Simultaneous Similarity Learning and Feature Weight Learning for Document Clustering
... The above algorithm has a very nice intuitive inter- preation in terms of random walks over the two dif- ferent graphs. Assume the initial weights are transi- tion probability values after the graphs are ...
9
Enhanced genetic algorithm-based back propagation neural network to diagnose conditions of multiple-bearing system
... random initial connectivity weights can induce unsatisfactory of condition diagnosis accuracy from standard BPNN (Chang et ...of initial connectivity weights can be minimized by setting up ...
41
Principal Component Analysis and Neural Networks for Predicting the Pile Capacity Using SPT
... Following the data division and the pre-processing, the optimum model architecture (i.e., the number of hidden layers and the corresponding number of hidden nodes) must be determined. It should be noted that a network ...
8
Conditions on abruptness in a gradient ascent Maximum Entropy learner
... To check this result, the simulations from Section 4 were repeated, except this time the initial weights w(0) were not zero, but were sampled from a nor- mal distribution (mean 0, s.d. 1). Then, for each of ...
12
NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML BEHAVIORAL DESIGN
... network's initial weights and initial thresholds, uses adaptive learning rate and additional momentum BP algorithm to adjusted the network weights and ...
7
Model of Electric Power Load by Adaptive Neural Network
... the initial weights are randomly selected and the learning factor is ...of weights is calculated and a learning factor is defined to satisfy the convergence condition ...
6
Lecture 17-Classification by Backpropagation-M
... unacceptable , repeat the training process with a different network topology or a different set of initial weights.. 21[r] ...
25
Combined use of importance weights and resampling weights in sequential Monte Carlo methods
... resampling weights deļ¬ned here are the same as the particle positions and resampling weights deļ¬ned in Section 1, and it is easy to check by induction that the importance weights deļ¬ned here are the ...
16
Training Artificial Neural Networks: Backpropagation via Nonlinear Optimization
... proper weights for neuronal ...neuronal weights, so that the squared error between the calculated outputs and observed outputs from the training set is ...
14
Amelioration of Alloxan-Induced Hyperglycaemia By Aloe Arborescens Miller. and its Possible Mechanism
... body weights of normal and diabetic animals were recorded before treatment, and 1 st , 7 th and 14 th day after drug ...body weights of the animals were higher than the initial weight of the same ...
14
Overview of NonParametric Combination-based permutation tests for Multivariate multi-sample problems
... directional marginal sub-hypothesis for continuous variables, see above; weights = list of weights for the variables, ļ¬rstly specify weights for binary variables, then weights for catego[r] ...
14
Weights and measures after the war
... There is a far more serious difficulty before us, and that is that there is no standard as to the number of small articles or " units " which will make up the next larger size or measure[r] ...
14
Generators and weights of polynomial codes
... Since the radical ideals have such good code properties, it makes sense to answer the following question: When does the radical have a single generator polynomial?. Of course, if the rad[r] ...
10
Continuous Approximation of Nonlinear L1 Problem Based on BP Neural Network
... 1. The output function should be high order derivative one due to the back propagation of weights. The rate of convergence of the whole model should also be considered. Therefore, the sigmoid function is generally ...
6