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Neural network is a kind of machine learning algorithm, applied in many ways. The traditional predictive guidance of aerocraft is hard to resolve the contradiction among robustness, real-time and the guidance of precision. The paper provides a predictive guidance algorithm for aerocraft, by combining neural network with predictive guidance to solve this problem. This research about the new style guidance...
In this letter, the error variance of the Minimal Mean-Square Error (MMSE) channel estimator is analyzed, and its analytic formula is given. Based on the analytic formula, a designing criterion on the pilot signals is proposed. When training time slots can be large enough, our criterion confirms the well-known fact that orthogonal pilot signals are optimal. But if training time slots are not enough...
Maps of protein-protein interactions (PPIs) are essential to uncover cellular processes and metabolic processes in a cell. However, various high-throughput biological experiments are time-consuming and labor-intensive, resulting in interactions of high false positive and false negative rates. The fact that most interaction networks remain sparse and incomplete motivates scientists to develop computational...
Designing Quantitative Structure-Activity Relationship (QSAR) models has been a recurrent research interest for biologists and computer scientists. An example is to predict the toxicity of chemical compounds using their structural properties as features represented by graphs. A popular method to classify these graphs is to exploit classifiers such as support vector machines (SVMs) and graph kernels...
The Attitude Measurement System of the Individual Soldier Virtual Training System mainly consists two parts: the digital magnetic compass (DMC) and the angular rate gyro. An initial alignment method assisted by DMC was proposed, the principle and the algorithm of attitude detection of the DMC were introduced and the error compensation method based on segment least square algorithm was studied. Then,...
Two dimensional principal component analysis (2DPCA) extracts the global feature of human face, but the local feature is very important to face recognition. In this paper, adaptively weighted 2DPCA based on local feature is proposed. It combines above approaches through separating original images into multi-blocks. Firstly, the face image is separated into three independent sub-blocks according to...
Is it better to design a classifier and estimate its error on the full sample or to design a classifier on a training subset and estimate its error on the hold-out test subset? Full-sample design provides the better classifier; nevertheless, one might choose hold-out with the hope of better error estimation. A conservative criterion to decide the best course is to aim at a classifier whose error is...
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