http://wordnet.princeton.edu/
WordNet is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet s structure makes it a useful tool for Computational linguistics and natural language processing.
As a consequence, more exact models of devices can
be retained for analysis rather than the approximate models commonly introduced
for the sake of Computational simplicity. A computer icon appears in the margin
with each introduction of MATLAB analysis.
As a consequence, more exact models of devices can
be retained for analysis rather than the approximate models commonly introduced
for the sake of Computational simplicity. A computer icon appears in the margin
with each introduction of MATLAB analysis.
As a consequence, more exact models of devices can
be retained for analysis rather than the approximate models commonly introduced
for the sake of Computational simplicity. A computer icon appears in the margin
with each introduction of MATLAB analysis.
As a consequence, more exact models of devices can
be retained for analysis rather than the approximate models commonly introduced
for the sake of Computational simplicity. A computer icon appears in the margin
with each introduction of MATLAB analysis.
As a consequence, more exact models of devices can
be retained for analysis rather than the approximate models commonly introduced
for the sake of Computational simplicity. A computer icon appears in the margin
with each introduction of MATLAB analysis.
Multirate filters provide a practical approach to designing and implementing finite response (FIR) filters with narrow spectral constraints. By changing the input data rate at one or more intermediate points the filter lengths and Computational rates can be greatly reduced when compared to a standard single-rate filter implementation.
非常好的優(yōu)化算法的書，詳細介紹了蟻群算法和粒子群算法以及相關的matlab工具箱，講了理論和應用給出了工具箱的下載地址。
Swarm intelligence is an innovative Computational way to solve hard problems. In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions.
